Upload folder using huggingface_hub

checkpoint-20500/1_Pooling/config.json

@@ -0,0 +1,10 @@
+{
+  "word_embedding_dimension": 768,
+  "pooling_mode_cls_token": false,
+  "pooling_mode_mean_tokens": true,
+  "pooling_mode_max_tokens": false,
+  "pooling_mode_mean_sqrt_len_tokens": false,
+  "pooling_mode_weightedmean_tokens": false,
+  "pooling_mode_lasttoken": false,
+  "include_prompt": true
+}

checkpoint-20500/README.md

@@ -0,0 +1,540 @@
+---
+base_model: sentence-transformers/all-mpnet-base-v2
+language:
+- en
+library_name: sentence-transformers
+license: apache-2.0
+pipeline_tag: sentence-similarity
+tags:
+- sentence-transformers
+- sentence-similarity
+- feature-extraction
+- generated_from_trainer
+- dataset_size:1363306
+- loss:CoSENTLoss
+widget:
+- source_sentence: labneh
+  sentences:
+  - iftar
+  - bathing suit
+  - coffee cup
+- source_sentence: Velvet flock Veil
+  sentences:
+  - mermaid purse
+  - veil
+  - mobile bag
+- source_sentence: Red lipstick
+  sentences:
+  - chemise dress
+  - tote
+  - rouge
+- source_sentence: Unisex Travel bag
+  sentences:
+  - spf
+  - basic vega ring
+  - travel backpack
+- source_sentence: jeremy hush book
+  sentences:
+  - chinese jumper
+  - perfume
+  - home automation device
+---
+
+# all-mpnet-base-v2-pair_score
+
+This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2). It maps sentences & paragraphs to a 768-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.
+
+## Model Details
+
+### Model Description
+- **Model Type:** Sentence Transformer
+- **Base model:** [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) <!-- at revision 9a3225965996d404b775526de6dbfe85d3368642 -->
+- **Maximum Sequence Length:** 384 tokens
+- **Output Dimensionality:** 768 tokens
+- **Similarity Function:** Cosine Similarity
+<!-- - **Training Dataset:** Unknown -->
+- **Language:** en
+- **License:** apache-2.0
+
+### Model Sources
+
+- **Documentation:** [Sentence Transformers Documentation](https://sbert.net)
+- **Repository:** [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
+- **Hugging Face:** [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)
+
+### Full Model Architecture
+
+```
+SentenceTransformer(
+  (0): Transformer({'max_seq_length': 384, 'do_lower_case': False}) with Transformer model: MPNetModel 
+  (1): Pooling({'word_embedding_dimension': 768, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
+  (2): Normalize()
+)
+```
+
+## Usage
+
+### Direct Usage (Sentence Transformers)
+
+First install the Sentence Transformers library:
+
+```bash
+pip install -U sentence-transformers
+```
+
+Then you can load this model and run inference.
+```python
+from sentence_transformers import SentenceTransformer
+
+# Download from the 🤗 Hub
+model = SentenceTransformer("sentence_transformers_model_id")
+# Run inference
+sentences = [
+    'jeremy hush book',
+    'chinese jumper',
+    'perfume',
+]
+embeddings = model.encode(sentences)
+print(embeddings.shape)
+# [3, 768]
+
+# Get the similarity scores for the embeddings
+similarities = model.similarity(embeddings, embeddings)
+print(similarities.shape)
+# [3, 3]
+```
+
+<!--
+### Direct Usage (Transformers)
+
+<details><summary>Click to see the direct usage in Transformers</summary>
+
+</details>
+-->
+
+<!--
+### Downstream Usage (Sentence Transformers)
+
+You can finetune this model on your own dataset.
+
+<details><summary>Click to expand</summary>
+
+</details>
+-->
+
+<!--
+### Out-of-Scope Use
+
+*List how the model may foreseeably be misused and address what users ought not to do with the model.*
+-->
+
+<!--
+## Bias, Risks and Limitations
+
+*What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.*
+-->
+
+<!--
+### Recommendations
+
+*What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.*
+-->
+
+## Training Details
+
+### Training Hyperparameters
+#### Non-Default Hyperparameters
+
+- `eval_strategy`: steps
+- `per_device_train_batch_size`: 128
+- `per_device_eval_batch_size`: 128
+- `learning_rate`: 2e-05
+- `num_train_epochs`: 2
+- `warmup_ratio`: 0.1
+- `fp16`: True
+
+#### All Hyperparameters
+<details><summary>Click to expand</summary>
+
+- `overwrite_output_dir`: False
+- `do_predict`: False
+- `eval_strategy`: steps
+- `prediction_loss_only`: True
+- `per_device_train_batch_size`: 128
+- `per_device_eval_batch_size`: 128
+- `per_gpu_train_batch_size`: None
+- `per_gpu_eval_batch_size`: None
+- `gradient_accumulation_steps`: 1
+- `eval_accumulation_steps`: None
+- `torch_empty_cache_steps`: None
+- `learning_rate`: 2e-05
+- `weight_decay`: 0.0
+- `adam_beta1`: 0.9
+- `adam_beta2`: 0.999
+- `adam_epsilon`: 1e-08
+- `max_grad_norm`: 1.0
+- `num_train_epochs`: 2
+- `max_steps`: -1
+- `lr_scheduler_type`: linear
+- `lr_scheduler_kwargs`: {}
+- `warmup_ratio`: 0.1
+- `warmup_steps`: 0
+- `log_level`: passive
+- `log_level_replica`: warning
+- `log_on_each_node`: True
+- `logging_nan_inf_filter`: True
+- `save_safetensors`: True
+- `save_on_each_node`: False
+- `save_only_model`: False
+- `restore_callback_states_from_checkpoint`: False
+- `no_cuda`: False
+- `use_cpu`: False
+- `use_mps_device`: False
+- `seed`: 42
+- `data_seed`: None
+- `jit_mode_eval`: False
+- `use_ipex`: False
+- `bf16`: False
+- `fp16`: True
+- `fp16_opt_level`: O1
+- `half_precision_backend`: auto
+- `bf16_full_eval`: False
+- `fp16_full_eval`: False
+- `tf32`: None
+- `local_rank`: 0
+- `ddp_backend`: None
+- `tpu_num_cores`: None
+- `tpu_metrics_debug`: False
+- `debug`: []
+- `dataloader_drop_last`: False
+- `dataloader_num_workers`: 0
+- `dataloader_prefetch_factor`: None
+- `past_index`: -1
+- `disable_tqdm`: False
+- `remove_unused_columns`: True
+- `label_names`: None
+- `load_best_model_at_end`: False
+- `ignore_data_skip`: False
+- `fsdp`: []
+- `fsdp_min_num_params`: 0
+- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
+- `fsdp_transformer_layer_cls_to_wrap`: None
+- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
+- `deepspeed`: None
+- `label_smoothing_factor`: 0.0
+- `optim`: adamw_torch
+- `optim_args`: None
+- `adafactor`: False
+- `group_by_length`: False
+- `length_column_name`: length
+- `ddp_find_unused_parameters`: None
+- `ddp_bucket_cap_mb`: None
+- `ddp_broadcast_buffers`: False
+- `dataloader_pin_memory`: True
+- `dataloader_persistent_workers`: False
+- `skip_memory_metrics`: True
+- `use_legacy_prediction_loop`: False
+- `push_to_hub`: False
+- `resume_from_checkpoint`: None
+- `hub_model_id`: None
+- `hub_strategy`: every_save
+- `hub_private_repo`: False
+- `hub_always_push`: False
+- `gradient_checkpointing`: False
+- `gradient_checkpointing_kwargs`: None
+- `include_inputs_for_metrics`: False
+- `eval_do_concat_batches`: True
+- `fp16_backend`: auto
+- `push_to_hub_model_id`: None
+- `push_to_hub_organization`: None
+- `mp_parameters`: 
+- `auto_find_batch_size`: False
+- `full_determinism`: False
+- `torchdynamo`: None
+- `ray_scope`: last
+- `ddp_timeout`: 1800
+- `torch_compile`: False
+- `torch_compile_backend`: None
+- `torch_compile_mode`: None
+- `dispatch_batches`: None
+- `split_batches`: None
+- `include_tokens_per_second`: False
+- `include_num_input_tokens_seen`: False
+- `neftune_noise_alpha`: None
+- `optim_target_modules`: None
+- `batch_eval_metrics`: False
+- `eval_on_start`: False
+- `use_liger_kernel`: False
+- `eval_use_gather_object`: False
+- `batch_sampler`: batch_sampler
+- `multi_dataset_batch_sampler`: proportional
+
+</details>
+
+### Training Logs
+<details><summary>Click to expand</summary>
+
+| Epoch  | Step  | Training Loss | loss   |
+|:------:|:-----:|:-------------:|:------:|
+| 0.0094 | 100   | 16.0755       | -      |
+| 0.0188 | 200   | 13.0643       | -      |
+| 0.0282 | 300   | 9.3474        | -      |
+| 0.0376 | 400   | 8.2606        | -      |
+| 0.0469 | 500   | 8.084         | -      |
+| 0.0563 | 600   | 8.0581        | -      |
+| 0.0657 | 700   | 8.0175        | -      |
+| 0.0751 | 800   | 8.0285        | -      |
+| 0.0845 | 900   | 8.0024        | -      |
+| 0.0939 | 1000  | 8.0161        | -      |
+| 0.1033 | 1100  | 7.9941        | -      |
+| 0.1127 | 1200  | 8.0233        | -      |
+| 0.1221 | 1300  | 8.0141        | -      |
+| 0.1314 | 1400  | 7.9644        | -      |
+| 0.1408 | 1500  | 8.0311        | -      |
+| 0.1502 | 1600  | 8.0306        | -      |
+| 0.1596 | 1700  | 7.989         | -      |
+| 0.1690 | 1800  | 8.0034        | -      |
+| 0.1784 | 1900  | 8.0107        | -      |
+| 0.1878 | 2000  | 7.9737        | -      |
+| 0.1972 | 2100  | 7.9827        | -      |
+| 0.2066 | 2200  | 8.0389        | -      |
+| 0.2159 | 2300  | 7.973         | -      |
+| 0.2253 | 2400  | 7.9669        | -      |
+| 0.2347 | 2500  | 8.0296        | -      |
+| 0.2441 | 2600  | 7.9984        | -      |
+| 0.2535 | 2700  | 7.9772        | -      |
+| 0.2629 | 2800  | 7.9838        | -      |
+| 0.2723 | 2900  | 7.9816        | -      |
+| 0.2817 | 3000  | 8.0021        | -      |
+| 0.2911 | 3100  | 7.9715        | -      |
+| 0.3004 | 3200  | 7.9809        | -      |
+| 0.3098 | 3300  | 7.9849        | -      |
+| 0.3192 | 3400  | 7.9463        | -      |
+| 0.3286 | 3500  | 8.0067        | -      |
+| 0.3380 | 3600  | 7.9431        | -      |
+| 0.3474 | 3700  | 7.9877        | -      |
+| 0.3568 | 3800  | 7.9494        | -      |
+| 0.3662 | 3900  | 7.9466        | -      |
+| 0.3756 | 4000  | 7.9708        | -      |
+| 0.3849 | 4100  | 7.9525        | -      |
+| 0.3943 | 4200  | 7.9322        | -      |
+| 0.4037 | 4300  | 7.9415        | -      |
+| 0.4131 | 4400  | 7.9932        | -      |
+| 0.4225 | 4500  | 7.9481        | -      |
+| 0.4319 | 4600  | 7.976         | -      |
+| 0.4413 | 4700  | 7.971         | -      |
+| 0.4507 | 4800  | 7.9647        | -      |
+| 0.4601 | 4900  | 7.9217        | -      |
+| 0.4694 | 5000  | 7.9374        | 7.9518 |
+| 0.4788 | 5100  | 7.9026        | -      |
+| 0.4882 | 5200  | 7.9304        | -      |
+| 0.4976 | 5300  | 7.9148        | -      |
+| 0.5070 | 5400  | 7.9538        | -      |
+| 0.5164 | 5500  | 8.0002        | -      |
+| 0.5258 | 5600  | 7.9571        | -      |
+| 0.5352 | 5700  | 7.932         | -      |
+| 0.5445 | 5800  | 7.9047        | -      |
+| 0.5539 | 5900  | 7.9353        | -      |
+| 0.5633 | 6000  | 7.9203        | -      |
+| 0.5727 | 6100  | 7.8967        | -      |
+| 0.5821 | 6200  | 7.9414        | -      |
+| 0.5915 | 6300  | 7.9631        | -      |
+| 0.6009 | 6400  | 7.9606        | -      |
+| 0.6103 | 6500  | 7.9377        | -      |
+| 0.6197 | 6600  | 7.9108        | -      |
+| 0.6290 | 6700  | 7.9225        | -      |
+| 0.6384 | 6800  | 7.9154        | -      |
+| 0.6478 | 6900  | 7.9191        | -      |
+| 0.6572 | 7000  | 7.8903        | -      |
+| 0.6666 | 7100  | 7.9213        | -      |
+| 0.6760 | 7200  | 7.9202        | -      |
+| 0.6854 | 7300  | 7.8998        | -      |
+| 0.6948 | 7400  | 7.9153        | -      |
+| 0.7042 | 7500  | 7.9037        | -      |
+| 0.7135 | 7600  | 7.9146        | -      |
+| 0.7229 | 7700  | 7.8972        | -      |
+| 0.7323 | 7800  | 7.9374        | -      |
+| 0.7417 | 7900  | 7.8647        | -      |
+| 0.7511 | 8000  | 7.8915        | -      |
+| 0.7605 | 8100  | 7.8846        | -      |
+| 0.7699 | 8200  | 7.8988        | -      |
+| 0.7793 | 8300  | 7.8702        | -      |
+| 0.7887 | 8400  | 7.923         | -      |
+| 0.7980 | 8500  | 7.891         | -      |
+| 0.8074 | 8600  | 7.8832        | -      |
+| 0.8168 | 8700  | 7.8726        | -      |
+| 0.8262 | 8800  | 7.8813        | -      |
+| 0.8356 | 8900  | 7.8986        | -      |
+| 0.8450 | 9000  | 7.8743        | -      |
+| 0.8544 | 9100  | 7.8791        | -      |
+| 0.8638 | 9200  | 7.8783        | -      |
+| 0.8732 | 9300  | 7.8528        | -      |
+| 0.8825 | 9400  | 7.8864        | -      |
+| 0.8919 | 9500  | 7.8989        | -      |
+| 0.9013 | 9600  | 7.8617        | -      |
+| 0.9107 | 9700  | 7.8371        | -      |
+| 0.9201 | 9800  | 7.8566        | -      |
+| 0.9295 | 9900  | 7.8776        | -      |
+| 0.9389 | 10000 | 7.8558        | 7.8492 |
+| 0.9483 | 10100 | 7.848         | -      |
+| 0.9577 | 10200 | 7.8227        | -      |
+| 0.9670 | 10300 | 7.8311        | -      |
+| 0.9764 | 10400 | 7.8437        | -      |
+| 0.9858 | 10500 | 7.8454        | -      |
+| 0.9952 | 10600 | 7.8362        | -      |
+| 1.0046 | 10700 | 7.8681        | -      |
+| 1.0140 | 10800 | 7.8745        | -      |
+| 1.0234 | 10900 | 7.8339        | -      |
+| 1.0328 | 11000 | 7.8458        | -      |
+| 1.0422 | 11100 | 7.8493        | -      |
+| 1.0515 | 11200 | 7.8317        | -      |
+| 1.0609 | 11300 | 7.841         | -      |
+| 1.0703 | 11400 | 7.8292        | -      |
+| 1.0797 | 11500 | 7.8121        | -      |
+| 1.0891 | 11600 | 7.8165        | -      |
+| 1.0985 | 11700 | 7.8259        | -      |
+| 1.1079 | 11800 | 7.8303        | -      |
+| 1.1173 | 11900 | 7.809         | -      |
+| 1.1267 | 12000 | 7.818         | -      |
+| 1.1360 | 12100 | 7.8071        | -      |
+| 1.1454 | 12200 | 7.801         | -      |
+| 1.1548 | 12300 | 7.8123        | -      |
+| 1.1642 | 12400 | 7.8203        | -      |
+| 1.1736 | 12500 | 7.8609        | -      |
+| 1.1830 | 12600 | 7.7782        | -      |
+| 1.1924 | 12700 | 7.8092        | -      |
+| 1.2018 | 12800 | 7.815         | -      |
+| 1.2112 | 12900 | 7.8196        | -      |
+| 1.2205 | 13000 | 7.8206        | -      |
+| 1.2299 | 13100 | 7.8022        | -      |
+| 1.2393 | 13200 | 7.8043        | -      |
+| 1.2487 | 13300 | 7.7823        | -      |
+| 1.2581 | 13400 | 7.8061        | -      |
+| 1.2675 | 13500 | 7.8016        | -      |
+| 1.2769 | 13600 | 7.8076        | -      |
+| 1.2863 | 13700 | 7.7996        | -      |
+| 1.2957 | 13800 | 7.8035        | -      |
+| 1.3050 | 13900 | 7.8092        | -      |
+| 1.3144 | 14000 | 7.7902        | -      |
+| 1.3238 | 14100 | 7.8114        | -      |
+| 1.3332 | 14200 | 7.8112        | -      |
+| 1.3426 | 14300 | 7.8036        | -      |
+| 1.3520 | 14400 | 7.8178        | -      |
+| 1.3614 | 14500 | 7.8391        | -      |
+| 1.3708 | 14600 | 7.8151        | -      |
+| 1.3802 | 14700 | 7.7957        | -      |
+| 1.3895 | 14800 | 7.7833        | -      |
+| 1.3989 | 14900 | 7.8049        | -      |
+| 1.4083 | 15000 | 7.8163        | 7.8078 |
+| 1.4177 | 15100 | 7.7864        | -      |
+| 1.4271 | 15200 | 7.8241        | -      |
+| 1.4365 | 15300 | 7.7694        | -      |
+| 1.4459 | 15400 | 7.7784        | -      |
+| 1.4553 | 15500 | 7.7628        | -      |
+| 1.4647 | 15600 | 7.8044        | -      |
+| 1.4740 | 15700 | 7.7871        | -      |
+| 1.4834 | 15800 | 7.809         | -      |
+| 1.4928 | 15900 | 7.7955        | -      |
+| 1.5022 | 16000 | 7.8056        | -      |
+| 1.5116 | 16100 | 7.774         | -      |
+| 1.5210 | 16200 | 7.7874        | -      |
+| 1.5304 | 16300 | 7.7918        | -      |
+| 1.5398 | 16400 | 7.7787        | -      |
+| 1.5492 | 16500 | 7.7881        | -      |
+| 1.5585 | 16600 | 7.7723        | -      |
+| 1.5679 | 16700 | 7.7809        | -      |
+| 1.5773 | 16800 | 7.8096        | -      |
+| 1.5867 | 16900 | 7.7559        | -      |
+| 1.5961 | 17000 | 7.8063        | -      |
+| 1.6055 | 17100 | 7.8137        | -      |
+| 1.6149 | 17200 | 7.761         | -      |
+| 1.6243 | 17300 | 7.7672        | -      |
+| 1.6336 | 17400 | 7.7939        | -      |
+| 1.6430 | 17500 | 7.8052        | -      |
+| 1.6524 | 17600 | 7.7519        | -      |
+| 1.6618 | 17700 | 7.7643        | -      |
+| 1.6712 | 17800 | 7.7823        | -      |
+| 1.6806 | 17900 | 7.7507        | -      |
+| 1.6900 | 18000 | 7.777         | -      |
+| 1.6994 | 18100 | 7.786         | -      |
+| 1.7088 | 18200 | 7.8097        | -      |
+| 1.7181 | 18300 | 7.7749        | -      |
+| 1.7275 | 18400 | 7.7626        | -      |
+| 1.7369 | 18500 | 7.7783        | -      |
+| 1.7463 | 18600 | 7.7552        | -      |
+| 1.7557 | 18700 | 7.7837        | -      |
+| 1.7651 | 18800 | 7.7583        | -      |
+| 1.7745 | 18900 | 7.7617        | -      |
+| 1.7839 | 19000 | 7.7649        | -      |
+| 1.7933 | 19100 | 7.7767        | -      |
+| 1.8026 | 19200 | 7.7565        | -      |
+| 1.8120 | 19300 | 7.7702        | -      |
+| 1.8214 | 19400 | 7.7552        | -      |
+| 1.8308 | 19500 | 7.7511        | -      |
+| 1.8402 | 19600 | 7.7818        | -      |
+| 1.8496 | 19700 | 7.7704        | -      |
+| 1.8590 | 19800 | 7.7824        | -      |
+| 1.8684 | 19900 | 7.751         | -      |
+| 1.8778 | 20000 | 7.7868        | 7.7942 |
+| 1.8871 | 20100 | 7.7981        | -      |
+| 1.8965 | 20200 | 7.7673        | -      |
+| 1.9059 | 20300 | 7.7695        | -      |
+| 1.9153 | 20400 | 7.7587        | -      |
+| 1.9247 | 20500 | 7.7444        | -      |
+
+</details>
+
+### Framework Versions
+- Python: 3.8.10
+- Sentence Transformers: 3.1.1
+- Transformers: 4.45.2
+- PyTorch: 2.4.1+cu118
+- Accelerate: 1.0.1
+- Datasets: 3.0.1
+- Tokenizers: 0.20.3
+
+## Citation
+
+### BibTeX
+
+#### Sentence Transformers
+```bibtex
+@inproceedings{reimers-2019-sentence-bert,
+    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
+    author = "Reimers, Nils and Gurevych, Iryna",
+    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
+    month = "11",
+    year = "2019",
+    publisher = "Association for Computational Linguistics",
+    url = "https://arxiv.org/abs/1908.10084",
+}
+```
+
+#### CoSENTLoss
+```bibtex
+@online{kexuefm-8847,
+    title={CoSENT: A more efficient sentence vector scheme than Sentence-BERT},
+    author={Su Jianlin},
+    year={2022},
+    month={Jan},
+    url={https://kexue.fm/archives/8847},
+}
+```
+
+<!--
+## Glossary
+
+*Clearly define terms in order to be accessible across audiences.*
+-->
+
+<!--
+## Model Card Authors
+
+*Lists the people who create the model card, providing recognition and accountability for the detailed work that goes into its construction.*
+-->
+
+<!--
+## Model Card Contact
+
+*Provides a way for people who have updates to the Model Card, suggestions, or questions, to contact the Model Card authors.*
+-->

checkpoint-20500/config.json

@@ -0,0 +1,24 @@
+{
+  "_name_or_path": "sentence-transformers/all-mpnet-base-v2",
+  "architectures": [
+    "MPNetModel"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "mpnet",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 1,
+  "relative_attention_num_buckets": 32,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.2",
+  "vocab_size": 30527
+}

checkpoint-20500/config_sentence_transformers.json

@@ -0,0 +1,10 @@
+{
+  "__version__": {
+    "sentence_transformers": "3.1.1",
+    "transformers": "4.45.2",
+    "pytorch": "2.4.1+cu118"
+  },
+  "prompts": {},
+  "default_prompt_name": null,
+  "similarity_fn_name": null
+}

checkpoint-20500/model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9f586cd9fe24b449fc6e0a37e01ec338fc20fe1870cdb3aadd3d4cb052a9f7ab
+size 437967672

checkpoint-20500/modules.json

@@ -0,0 +1,20 @@
+[
+  {
+    "idx": 0,
+    "name": "0",
+    "path": "",
+    "type": "sentence_transformers.models.Transformer"
+  },
+  {
+    "idx": 1,
+    "name": "1",
+    "path": "1_Pooling",
+    "type": "sentence_transformers.models.Pooling"
+  },
+  {
+    "idx": 2,
+    "name": "2",
+    "path": "2_Normalize",
+    "type": "sentence_transformers.models.Normalize"
+  }
+]

checkpoint-20500/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:04dc687aae5d16cff3539d7bfd96d9587980395df419a39fec5856e76e877e21
+size 871331770

checkpoint-20500/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a2b651375116ed5fd7c7d85be3cb1ab5f8aeff75b36a07a9bf069d5aca63c564
+size 14244

checkpoint-20500/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b50bd604e3bbb5dd315f90fbd8f494e24597cb4aef78abdb38d02e24e6a9f7ef
+size 1064

checkpoint-20500/sentence_bert_config.json

@@ -0,0 +1,4 @@
+{
+  "max_seq_length": 384,
+  "do_lower_case": false
+}

checkpoint-20500/special_tokens_map.json

@@ -0,0 +1,51 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-20500/tokenizer_config.json

@@ -0,0 +1,72 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "104": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "30526": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<s>",
+  "do_lower_case": true,
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "max_length": 128,
+  "model_max_length": 384,
+  "pad_to_multiple_of": null,
+  "pad_token": "<pad>",
+  "pad_token_type_id": 0,
+  "padding_side": "right",
+  "sep_token": "</s>",
+  "stride": 0,
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "MPNetTokenizer",
+  "truncation_side": "right",
+  "truncation_strategy": "longest_first",
+  "unk_token": "[UNK]"
+}

checkpoint-20500/trainer_state.json

@@ -0,0 +1,1500 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.9247019059243264,
+  "eval_steps": 5000,
+  "global_step": 20500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.009388789784996713,
+      "grad_norm": 72.80598449707031,
+      "learning_rate": 9.103707179727828e-07,
+      "loss": 16.0755,
+      "step": 100
+    },
+    {
+      "epoch": 0.018777579569993427,
+      "grad_norm": 72.60921478271484,
+      "learning_rate": 1.8301267010793056e-06,
+      "loss": 13.0643,
+      "step": 200
+    },
+    {
+      "epoch": 0.02816636935499014,
+      "grad_norm": 10.017908096313477,
+      "learning_rate": 2.7592679493195683e-06,
+      "loss": 9.3474,
+      "step": 300
+    },
+    {
+      "epoch": 0.03755515913998685,
+      "grad_norm": 5.694988250732422,
+      "learning_rate": 3.6977944626935713e-06,
+      "loss": 8.2606,
+      "step": 400
+    },
+    {
+      "epoch": 0.04694394892498357,
+      "grad_norm": 4.844100475311279,
+      "learning_rate": 4.6363209760675744e-06,
+      "loss": 8.084,
+      "step": 500
+    },
+    {
+      "epoch": 0.05633273870998028,
+      "grad_norm": 3.6125142574310303,
+      "learning_rate": 5.574847489441577e-06,
+      "loss": 8.0581,
+      "step": 600
+    },
+    {
+      "epoch": 0.06572152849497699,
+      "grad_norm": 3.166046380996704,
+      "learning_rate": 6.51337400281558e-06,
+      "loss": 8.0175,
+      "step": 700
+    },
+    {
+      "epoch": 0.0751103182799737,
+      "grad_norm": 2.600433111190796,
+      "learning_rate": 7.451900516189583e-06,
+      "loss": 8.0285,
+      "step": 800
+    },
+    {
+      "epoch": 0.08449910806497042,
+      "grad_norm": 2.3805315494537354,
+      "learning_rate": 8.390427029563585e-06,
+      "loss": 8.0024,
+      "step": 900
+    },
+    {
+      "epoch": 0.09388789784996714,
+      "grad_norm": 12.382240295410156,
+      "learning_rate": 9.328953542937589e-06,
+      "loss": 8.0161,
+      "step": 1000
+    },
+    {
+      "epoch": 0.10327668763496385,
+      "grad_norm": 2.7355728149414062,
+      "learning_rate": 1.0267480056311592e-05,
+      "loss": 7.9941,
+      "step": 1100
+    },
+    {
+      "epoch": 0.11266547741996057,
+      "grad_norm": 2.0243470668792725,
+      "learning_rate": 1.1206006569685594e-05,
+      "loss": 8.0233,
+      "step": 1200
+    },
+    {
+      "epoch": 0.12205426720495728,
+      "grad_norm": 1.9162158966064453,
+      "learning_rate": 1.2144533083059597e-05,
+      "loss": 8.0141,
+      "step": 1300
+    },
+    {
+      "epoch": 0.13144305698995398,
+      "grad_norm": 11.409939765930176,
+      "learning_rate": 1.3083059596433601e-05,
+      "loss": 7.9644,
+      "step": 1400
+    },
+    {
+      "epoch": 0.1408318467749507,
+      "grad_norm": 1.712424635887146,
+      "learning_rate": 1.4021586109807603e-05,
+      "loss": 8.0311,
+      "step": 1500
+    },
+    {
+      "epoch": 0.1502206365599474,
+      "grad_norm": 2.4589834213256836,
+      "learning_rate": 1.4960112623181606e-05,
+      "loss": 8.0306,
+      "step": 1600
+    },
+    {
+      "epoch": 0.15960942634494413,
+      "grad_norm": 1.7343533039093018,
+      "learning_rate": 1.589863913655561e-05,
+      "loss": 7.989,
+      "step": 1700
+    },
+    {
+      "epoch": 0.16899821612994084,
+      "grad_norm": 2.0726826190948486,
+      "learning_rate": 1.6837165649929613e-05,
+      "loss": 8.0034,
+      "step": 1800
+    },
+    {
+      "epoch": 0.17838700591493756,
+      "grad_norm": 1.7758458852767944,
+      "learning_rate": 1.7775692163303613e-05,
+      "loss": 8.0107,
+      "step": 1900
+    },
+    {
+      "epoch": 0.18777579569993427,
+      "grad_norm": 3.3816475868225098,
+      "learning_rate": 1.8714218676677617e-05,
+      "loss": 7.9737,
+      "step": 2000
+    },
+    {
+      "epoch": 0.197164585484931,
+      "grad_norm": 1.8136950731277466,
+      "learning_rate": 1.965274519005162e-05,
+      "loss": 7.9827,
+      "step": 2100
+    },
+    {
+      "epoch": 0.2065533752699277,
+      "grad_norm": 1.7819303274154663,
+      "learning_rate": 1.9934275728965626e-05,
+      "loss": 8.0389,
+      "step": 2200
+    },
+    {
+      "epoch": 0.21594216505492442,
+      "grad_norm": 2.269160509109497,
+      "learning_rate": 1.9829951489228525e-05,
+      "loss": 7.973,
+      "step": 2300
+    },
+    {
+      "epoch": 0.22533095483992113,
+      "grad_norm": 3.3508036136627197,
+      "learning_rate": 1.972562724949142e-05,
+      "loss": 7.9669,
+      "step": 2400
+    },
+    {
+      "epoch": 0.23471974462491785,
+      "grad_norm": 1.674142599105835,
+      "learning_rate": 1.962130300975432e-05,
+      "loss": 8.0296,
+      "step": 2500
+    },
+    {
+      "epoch": 0.24410853440991456,
+      "grad_norm": 1.454300880432129,
+      "learning_rate": 1.9516978770017215e-05,
+      "loss": 7.9984,
+      "step": 2600
+    },
+    {
+      "epoch": 0.2534973241949113,
+      "grad_norm": 2.2951695919036865,
+      "learning_rate": 1.9412654530280113e-05,
+      "loss": 7.9772,
+      "step": 2700
+    },
+    {
+      "epoch": 0.26288611397990796,
+      "grad_norm": 6.295051574707031,
+      "learning_rate": 1.930833029054301e-05,
+      "loss": 7.9838,
+      "step": 2800
+    },
+    {
+      "epoch": 0.2722749037649047,
+      "grad_norm": 1.8874555826187134,
+      "learning_rate": 1.9204006050805904e-05,
+      "loss": 7.9816,
+      "step": 2900
+    },
+    {
+      "epoch": 0.2816636935499014,
+      "grad_norm": 20.835277557373047,
+      "learning_rate": 1.9099681811068803e-05,
+      "loss": 8.0021,
+      "step": 3000
+    },
+    {
+      "epoch": 0.29105248333489814,
+      "grad_norm": 2.1683876514434814,
+      "learning_rate": 1.8995357571331702e-05,
+      "loss": 7.9715,
+      "step": 3100
+    },
+    {
+      "epoch": 0.3004412731198948,
+      "grad_norm": 1.6533387899398804,
+      "learning_rate": 1.8891033331594598e-05,
+      "loss": 7.9809,
+      "step": 3200
+    },
+    {
+      "epoch": 0.30983006290489157,
+      "grad_norm": 4.595189094543457,
+      "learning_rate": 1.8786709091857496e-05,
+      "loss": 7.9849,
+      "step": 3300
+    },
+    {
+      "epoch": 0.31921885268988826,
+      "grad_norm": 1.994147539138794,
+      "learning_rate": 1.8682384852120392e-05,
+      "loss": 7.9463,
+      "step": 3400
+    },
+    {
+      "epoch": 0.328607642474885,
+      "grad_norm": 1.961474895477295,
+      "learning_rate": 1.8578060612383287e-05,
+      "loss": 8.0067,
+      "step": 3500
+    },
+    {
+      "epoch": 0.3379964322598817,
+      "grad_norm": 24.005535125732422,
+      "learning_rate": 1.8473736372646186e-05,
+      "loss": 7.9431,
+      "step": 3600
+    },
+    {
+      "epoch": 0.34738522204487843,
+      "grad_norm": 1.9433845281600952,
+      "learning_rate": 1.8369412132909085e-05,
+      "loss": 7.9877,
+      "step": 3700
+    },
+    {
+      "epoch": 0.3567740118298751,
+      "grad_norm": 10.296500205993652,
+      "learning_rate": 1.826508789317198e-05,
+      "loss": 7.9494,
+      "step": 3800
+    },
+    {
+      "epoch": 0.36616280161487186,
+      "grad_norm": 2.194976568222046,
+      "learning_rate": 1.8160763653434876e-05,
+      "loss": 7.9466,
+      "step": 3900
+    },
+    {
+      "epoch": 0.37555159139986855,
+      "grad_norm": 1.5201098918914795,
+      "learning_rate": 1.8056439413697775e-05,
+      "loss": 7.9708,
+      "step": 4000
+    },
+    {
+      "epoch": 0.3849403811848653,
+      "grad_norm": 2.9077212810516357,
+      "learning_rate": 1.795211517396067e-05,
+      "loss": 7.9525,
+      "step": 4100
+    },
+    {
+      "epoch": 0.394329170969862,
+      "grad_norm": 2.041530132293701,
+      "learning_rate": 1.784779093422357e-05,
+      "loss": 7.9322,
+      "step": 4200
+    },
+    {
+      "epoch": 0.4037179607548587,
+      "grad_norm": 2.0275838375091553,
+      "learning_rate": 1.7743466694486468e-05,
+      "loss": 7.9415,
+      "step": 4300
+    },
+    {
+      "epoch": 0.4131067505398554,
+      "grad_norm": 2.000778913497925,
+      "learning_rate": 1.7639142454749364e-05,
+      "loss": 7.9932,
+      "step": 4400
+    },
+    {
+      "epoch": 0.42249554032485215,
+      "grad_norm": 2.2984609603881836,
+      "learning_rate": 1.753481821501226e-05,
+      "loss": 7.9481,
+      "step": 4500
+    },
+    {
+      "epoch": 0.43188433010984884,
+      "grad_norm": 1.0885875225067139,
+      "learning_rate": 1.7430493975275155e-05,
+      "loss": 7.976,
+      "step": 4600
+    },
+    {
+      "epoch": 0.4412731198948456,
+      "grad_norm": 4.441020488739014,
+      "learning_rate": 1.7326169735538053e-05,
+      "loss": 7.971,
+      "step": 4700
+    },
+    {
+      "epoch": 0.45066190967984227,
+      "grad_norm": 2.2056221961975098,
+      "learning_rate": 1.7221845495800952e-05,
+      "loss": 7.9647,
+      "step": 4800
+    },
+    {
+      "epoch": 0.460050699464839,
+      "grad_norm": 2.1192028522491455,
+      "learning_rate": 1.7117521256063848e-05,
+      "loss": 7.9217,
+      "step": 4900
+    },
+    {
+      "epoch": 0.4694394892498357,
+      "grad_norm": 14.011516571044922,
+      "learning_rate": 1.7013197016326747e-05,
+      "loss": 7.9374,
+      "step": 5000
+    },
+    {
+      "epoch": 0.4694394892498357,
+      "eval_loss": 7.951793193817139,
+      "eval_runtime": 900.8057,
+      "eval_samples_per_second": 378.358,
+      "eval_steps_per_second": 2.956,
+      "step": 5000
+    },
+    {
+      "epoch": 0.4788282790348324,
+      "grad_norm": 39.19038009643555,
+      "learning_rate": 1.6908872776589642e-05,
+      "loss": 7.9026,
+      "step": 5100
+    },
+    {
+      "epoch": 0.4882170688198291,
+      "grad_norm": 1.812458872795105,
+      "learning_rate": 1.6804548536852537e-05,
+      "loss": 7.9304,
+      "step": 5200
+    },
+    {
+      "epoch": 0.4976058586048258,
+      "grad_norm": 70.96247863769531,
+      "learning_rate": 1.6700224297115436e-05,
+      "loss": 7.9148,
+      "step": 5300
+    },
+    {
+      "epoch": 0.5069946483898226,
+      "grad_norm": 1.6605011224746704,
+      "learning_rate": 1.6595900057378335e-05,
+      "loss": 7.9538,
+      "step": 5400
+    },
+    {
+      "epoch": 0.5163834381748192,
+      "grad_norm": 2.0463483333587646,
+      "learning_rate": 1.649157581764123e-05,
+      "loss": 8.0002,
+      "step": 5500
+    },
+    {
+      "epoch": 0.5257722279598159,
+      "grad_norm": 3.8601722717285156,
+      "learning_rate": 1.6387251577904126e-05,
+      "loss": 7.9571,
+      "step": 5600
+    },
+    {
+      "epoch": 0.5351610177448127,
+      "grad_norm": 2.184122323989868,
+      "learning_rate": 1.6282927338167025e-05,
+      "loss": 7.932,
+      "step": 5700
+    },
+    {
+      "epoch": 0.5445498075298094,
+      "grad_norm": 2.165367603302002,
+      "learning_rate": 1.617860309842992e-05,
+      "loss": 7.9047,
+      "step": 5800
+    },
+    {
+      "epoch": 0.5539385973148061,
+      "grad_norm": 1.5312166213989258,
+      "learning_rate": 1.607427885869282e-05,
+      "loss": 7.9353,
+      "step": 5900
+    },
+    {
+      "epoch": 0.5633273870998028,
+      "grad_norm": 21.75490379333496,
+      "learning_rate": 1.5969954618955715e-05,
+      "loss": 7.9203,
+      "step": 6000
+    },
+    {
+      "epoch": 0.5727161768847996,
+      "grad_norm": 1.8674250841140747,
+      "learning_rate": 1.5865630379218614e-05,
+      "loss": 7.8967,
+      "step": 6100
+    },
+    {
+      "epoch": 0.5821049666697963,
+      "grad_norm": 49.87809371948242,
+      "learning_rate": 1.576130613948151e-05,
+      "loss": 7.9414,
+      "step": 6200
+    },
+    {
+      "epoch": 0.591493756454793,
+      "grad_norm": 54.42366409301758,
+      "learning_rate": 1.5658025142141778e-05,
+      "loss": 7.9631,
+      "step": 6300
+    },
+    {
+      "epoch": 0.6008825462397896,
+      "grad_norm": 37.58320236206055,
+      "learning_rate": 1.5554744144802047e-05,
+      "loss": 7.9606,
+      "step": 6400
+    },
+    {
+      "epoch": 0.6102713360247864,
+      "grad_norm": 3.1502482891082764,
+      "learning_rate": 1.5450419905064945e-05,
+      "loss": 7.9377,
+      "step": 6500
+    },
+    {
+      "epoch": 0.6196601258097831,
+      "grad_norm": 2.5369224548339844,
+      "learning_rate": 1.534609566532784e-05,
+      "loss": 7.9108,
+      "step": 6600
+    },
+    {
+      "epoch": 0.6290489155947798,
+      "grad_norm": 2.5891005992889404,
+      "learning_rate": 1.5241771425590736e-05,
+      "loss": 7.9225,
+      "step": 6700
+    },
+    {
+      "epoch": 0.6384377053797765,
+      "grad_norm": 1.7794080972671509,
+      "learning_rate": 1.5137447185853635e-05,
+      "loss": 7.9154,
+      "step": 6800
+    },
+    {
+      "epoch": 0.6478264951647733,
+      "grad_norm": 2.324805974960327,
+      "learning_rate": 1.5033122946116532e-05,
+      "loss": 7.9191,
+      "step": 6900
+    },
+    {
+      "epoch": 0.65721528494977,
+      "grad_norm": 2.601715564727783,
+      "learning_rate": 1.4928798706379428e-05,
+      "loss": 7.8903,
+      "step": 7000
+    },
+    {
+      "epoch": 0.6666040747347667,
+      "grad_norm": 2.4438092708587646,
+      "learning_rate": 1.4824474466642325e-05,
+      "loss": 7.9213,
+      "step": 7100
+    },
+    {
+      "epoch": 0.6759928645197634,
+      "grad_norm": 8.118125915527344,
+      "learning_rate": 1.4720150226905224e-05,
+      "loss": 7.9202,
+      "step": 7200
+    },
+    {
+      "epoch": 0.6853816543047602,
+      "grad_norm": 3.908555746078491,
+      "learning_rate": 1.461582598716812e-05,
+      "loss": 7.8998,
+      "step": 7300
+    },
+    {
+      "epoch": 0.6947704440897569,
+      "grad_norm": 2.72293758392334,
+      "learning_rate": 1.4511501747431017e-05,
+      "loss": 7.9153,
+      "step": 7400
+    },
+    {
+      "epoch": 0.7041592338747535,
+      "grad_norm": 3.108797073364258,
+      "learning_rate": 1.4407177507693915e-05,
+      "loss": 7.9037,
+      "step": 7500
+    },
+    {
+      "epoch": 0.7135480236597502,
+      "grad_norm": 2.6256439685821533,
+      "learning_rate": 1.430285326795681e-05,
+      "loss": 7.9146,
+      "step": 7600
+    },
+    {
+      "epoch": 0.7229368134447469,
+      "grad_norm": 3.5525624752044678,
+      "learning_rate": 1.4198529028219708e-05,
+      "loss": 7.8972,
+      "step": 7700
+    },
+    {
+      "epoch": 0.7323256032297437,
+      "grad_norm": 2.6983673572540283,
+      "learning_rate": 1.4094204788482607e-05,
+      "loss": 7.9374,
+      "step": 7800
+    },
+    {
+      "epoch": 0.7417143930147404,
+      "grad_norm": 1.545486569404602,
+      "learning_rate": 1.3989880548745502e-05,
+      "loss": 7.8647,
+      "step": 7900
+    },
+    {
+      "epoch": 0.7511031827997371,
+      "grad_norm": 2.5116941928863525,
+      "learning_rate": 1.38855563090084e-05,
+      "loss": 7.8915,
+      "step": 8000
+    },
+    {
+      "epoch": 0.7604919725847338,
+      "grad_norm": 1.8576518297195435,
+      "learning_rate": 1.3781232069271295e-05,
+      "loss": 7.8846,
+      "step": 8100
+    },
+    {
+      "epoch": 0.7698807623697306,
+      "grad_norm": 3.3226571083068848,
+      "learning_rate": 1.3676907829534194e-05,
+      "loss": 7.8988,
+      "step": 8200
+    },
+    {
+      "epoch": 0.7792695521547273,
+      "grad_norm": 2.946324586868286,
+      "learning_rate": 1.3572583589797091e-05,
+      "loss": 7.8702,
+      "step": 8300
+    },
+    {
+      "epoch": 0.788658341939724,
+      "grad_norm": 2.5089969635009766,
+      "learning_rate": 1.3468259350059986e-05,
+      "loss": 7.923,
+      "step": 8400
+    },
+    {
+      "epoch": 0.7980471317247206,
+      "grad_norm": 2.2807912826538086,
+      "learning_rate": 1.3363935110322885e-05,
+      "loss": 7.891,
+      "step": 8500
+    },
+    {
+      "epoch": 0.8074359215097174,
+      "grad_norm": 2.5889735221862793,
+      "learning_rate": 1.3259610870585782e-05,
+      "loss": 7.8832,
+      "step": 8600
+    },
+    {
+      "epoch": 0.8168247112947141,
+      "grad_norm": 2.8306784629821777,
+      "learning_rate": 1.3155286630848678e-05,
+      "loss": 7.8726,
+      "step": 8700
+    },
+    {
+      "epoch": 0.8262135010797108,
+      "grad_norm": 2.626786231994629,
+      "learning_rate": 1.3050962391111577e-05,
+      "loss": 7.8813,
+      "step": 8800
+    },
+    {
+      "epoch": 0.8356022908647075,
+      "grad_norm": 3.195319414138794,
+      "learning_rate": 1.2946638151374474e-05,
+      "loss": 7.8986,
+      "step": 8900
+    },
+    {
+      "epoch": 0.8449910806497043,
+      "grad_norm": 5.254043102264404,
+      "learning_rate": 1.284231391163737e-05,
+      "loss": 7.8743,
+      "step": 9000
+    },
+    {
+      "epoch": 0.854379870434701,
+      "grad_norm": 2.9493279457092285,
+      "learning_rate": 1.2737989671900267e-05,
+      "loss": 7.8791,
+      "step": 9100
+    },
+    {
+      "epoch": 0.8637686602196977,
+      "grad_norm": 3.130415439605713,
+      "learning_rate": 1.2633665432163165e-05,
+      "loss": 7.8783,
+      "step": 9200
+    },
+    {
+      "epoch": 0.8731574500046944,
+      "grad_norm": 4.030152797698975,
+      "learning_rate": 1.2529341192426061e-05,
+      "loss": 7.8528,
+      "step": 9300
+    },
+    {
+      "epoch": 0.8825462397896912,
+      "grad_norm": 2.9882099628448486,
+      "learning_rate": 1.2425016952688958e-05,
+      "loss": 7.8864,
+      "step": 9400
+    },
+    {
+      "epoch": 0.8919350295746878,
+      "grad_norm": 3.802172899246216,
+      "learning_rate": 1.2320692712951855e-05,
+      "loss": 7.8989,
+      "step": 9500
+    },
+    {
+      "epoch": 0.9013238193596845,
+      "grad_norm": 2.724433183670044,
+      "learning_rate": 1.2216368473214752e-05,
+      "loss": 7.8617,
+      "step": 9600
+    },
+    {
+      "epoch": 0.9107126091446812,
+      "grad_norm": 2.459376573562622,
+      "learning_rate": 1.211204423347765e-05,
+      "loss": 7.8371,
+      "step": 9700
+    },
+    {
+      "epoch": 0.920101398929678,
+      "grad_norm": 4.715926647186279,
+      "learning_rate": 1.2007719993740547e-05,
+      "loss": 7.8566,
+      "step": 9800
+    },
+    {
+      "epoch": 0.9294901887146747,
+      "grad_norm": 2.6845057010650635,
+      "learning_rate": 1.1903395754003444e-05,
+      "loss": 7.8776,
+      "step": 9900
+    },
+    {
+      "epoch": 0.9388789784996714,
+      "grad_norm": 2.62907075881958,
+      "learning_rate": 1.1799071514266341e-05,
+      "loss": 7.8558,
+      "step": 10000
+    },
+    {
+      "epoch": 0.9388789784996714,
+      "eval_loss": 7.849188327789307,
+      "eval_runtime": 1155.7489,
+      "eval_samples_per_second": 294.897,
+      "eval_steps_per_second": 2.304,
+      "step": 10000
+    },
+    {
+      "epoch": 0.9482677682846681,
+      "grad_norm": 4.570381164550781,
+      "learning_rate": 1.1694747274529237e-05,
+      "loss": 7.848,
+      "step": 10100
+    },
+    {
+      "epoch": 0.9576565580696648,
+      "grad_norm": 21.764062881469727,
+      "learning_rate": 1.1590423034792135e-05,
+      "loss": 7.8227,
+      "step": 10200
+    },
+    {
+      "epoch": 0.9670453478546616,
+      "grad_norm": 18.442140579223633,
+      "learning_rate": 1.1486098795055033e-05,
+      "loss": 7.8311,
+      "step": 10300
+    },
+    {
+      "epoch": 0.9764341376396583,
+      "grad_norm": 4.737902641296387,
+      "learning_rate": 1.1381774555317928e-05,
+      "loss": 7.8437,
+      "step": 10400
+    },
+    {
+      "epoch": 0.9858229274246549,
+      "grad_norm": 3.0295650959014893,
+      "learning_rate": 1.1277450315580827e-05,
+      "loss": 7.8454,
+      "step": 10500
+    },
+    {
+      "epoch": 0.9952117172096516,
+      "grad_norm": 3.0269651412963867,
+      "learning_rate": 1.1173126075843724e-05,
+      "loss": 7.8362,
+      "step": 10600
+    },
+    {
+      "epoch": 1.0046005069946484,
+      "grad_norm": 4.033662796020508,
+      "learning_rate": 1.1069845078503991e-05,
+      "loss": 7.8681,
+      "step": 10700
+    },
+    {
+      "epoch": 1.013989296779645,
+      "grad_norm": 3.5319488048553467,
+      "learning_rate": 1.0965520838766888e-05,
+      "loss": 7.8745,
+      "step": 10800
+    },
+    {
+      "epoch": 1.0233780865646418,
+      "grad_norm": 2.7731130123138428,
+      "learning_rate": 1.0861196599029787e-05,
+      "loss": 7.8339,
+      "step": 10900
+    },
+    {
+      "epoch": 1.0327668763496385,
+      "grad_norm": 4.000971794128418,
+      "learning_rate": 1.0756872359292683e-05,
+      "loss": 7.8458,
+      "step": 11000
+    },
+    {
+      "epoch": 1.0421556661346352,
+      "grad_norm": 15.05604362487793,
+      "learning_rate": 1.065254811955558e-05,
+      "loss": 7.8493,
+      "step": 11100
+    },
+    {
+      "epoch": 1.0515444559196319,
+      "grad_norm": 4.498584747314453,
+      "learning_rate": 1.0548223879818477e-05,
+      "loss": 7.8317,
+      "step": 11200
+    },
+    {
+      "epoch": 1.0609332457046288,
+      "grad_norm": 2.8218085765838623,
+      "learning_rate": 1.0443899640081374e-05,
+      "loss": 7.841,
+      "step": 11300
+    },
+    {
+      "epoch": 1.0703220354896255,
+      "grad_norm": 3.627685785293579,
+      "learning_rate": 1.0339575400344271e-05,
+      "loss": 7.8292,
+      "step": 11400
+    },
+    {
+      "epoch": 1.0797108252746221,
+      "grad_norm": 4.804520606994629,
+      "learning_rate": 1.0235251160607167e-05,
+      "loss": 7.8121,
+      "step": 11500
+    },
+    {
+      "epoch": 1.0890996150596188,
+      "grad_norm": 15.256156921386719,
+      "learning_rate": 1.0130926920870066e-05,
+      "loss": 7.8165,
+      "step": 11600
+    },
+    {
+      "epoch": 1.0984884048446155,
+      "grad_norm": 3.684401273727417,
+      "learning_rate": 1.0026602681132963e-05,
+      "loss": 7.8259,
+      "step": 11700
+    },
+    {
+      "epoch": 1.1078771946296122,
+      "grad_norm": 3.7146763801574707,
+      "learning_rate": 9.92227844139586e-06,
+      "loss": 7.8303,
+      "step": 11800
+    },
+    {
+      "epoch": 1.117265984414609,
+      "grad_norm": 3.4437708854675293,
+      "learning_rate": 9.817954201658755e-06,
+      "loss": 7.809,
+      "step": 11900
+    },
+    {
+      "epoch": 1.1266547741996056,
+      "grad_norm": 4.232120990753174,
+      "learning_rate": 9.713629961921654e-06,
+      "loss": 7.818,
+      "step": 12000
+    },
+    {
+      "epoch": 1.1360435639846025,
+      "grad_norm": 3.4967739582061768,
+      "learning_rate": 9.60930572218455e-06,
+      "loss": 7.8071,
+      "step": 12100
+    },
+    {
+      "epoch": 1.1454323537695992,
+      "grad_norm": 10.542444229125977,
+      "learning_rate": 9.504981482447447e-06,
+      "loss": 7.801,
+      "step": 12200
+    },
+    {
+      "epoch": 1.1548211435545959,
+      "grad_norm": 3.744981527328491,
+      "learning_rate": 9.400657242710344e-06,
+      "loss": 7.8123,
+      "step": 12300
+    },
+    {
+      "epoch": 1.1642099333395926,
+      "grad_norm": 3.3549323081970215,
+      "learning_rate": 9.296333002973241e-06,
+      "loss": 7.8203,
+      "step": 12400
+    },
+    {
+      "epoch": 1.1735987231245892,
+      "grad_norm": 5.337845325469971,
+      "learning_rate": 9.192008763236138e-06,
+      "loss": 7.8609,
+      "step": 12500
+    },
+    {
+      "epoch": 1.182987512909586,
+      "grad_norm": 3.204465627670288,
+      "learning_rate": 9.087684523499036e-06,
+      "loss": 7.7782,
+      "step": 12600
+    },
+    {
+      "epoch": 1.1923763026945826,
+      "grad_norm": 4.669897079467773,
+      "learning_rate": 8.983360283761933e-06,
+      "loss": 7.8092,
+      "step": 12700
+    },
+    {
+      "epoch": 1.2017650924795793,
+      "grad_norm": 3.1824800968170166,
+      "learning_rate": 8.87903604402483e-06,
+      "loss": 7.815,
+      "step": 12800
+    },
+    {
+      "epoch": 1.211153882264576,
+      "grad_norm": 3.6459527015686035,
+      "learning_rate": 8.774711804287727e-06,
+      "loss": 7.8196,
+      "step": 12900
+    },
+    {
+      "epoch": 1.220542672049573,
+      "grad_norm": 3.732983112335205,
+      "learning_rate": 8.670387564550624e-06,
+      "loss": 7.8206,
+      "step": 13000
+    },
+    {
+      "epoch": 1.2299314618345696,
+      "grad_norm": 4.478656768798828,
+      "learning_rate": 8.566063324813521e-06,
+      "loss": 7.8022,
+      "step": 13100
+    },
+    {
+      "epoch": 1.2393202516195663,
+      "grad_norm": 3.7781801223754883,
+      "learning_rate": 8.461739085076418e-06,
+      "loss": 7.8043,
+      "step": 13200
+    },
+    {
+      "epoch": 1.248709041404563,
+      "grad_norm": 5.932605743408203,
+      "learning_rate": 8.357414845339316e-06,
+      "loss": 7.7823,
+      "step": 13300
+    },
+    {
+      "epoch": 1.2580978311895596,
+      "grad_norm": 3.8288068771362305,
+      "learning_rate": 8.254133847999584e-06,
+      "loss": 7.8061,
+      "step": 13400
+    },
+    {
+      "epoch": 1.2674866209745563,
+      "grad_norm": 4.60470724105835,
+      "learning_rate": 8.14980960826248e-06,
+      "loss": 7.8016,
+      "step": 13500
+    },
+    {
+      "epoch": 1.276875410759553,
+      "grad_norm": 5.450839996337891,
+      "learning_rate": 8.045485368525377e-06,
+      "loss": 7.8076,
+      "step": 13600
+    },
+    {
+      "epoch": 1.28626420054455,
+      "grad_norm": 7.866298198699951,
+      "learning_rate": 7.941161128788276e-06,
+      "loss": 7.7996,
+      "step": 13700
+    },
+    {
+      "epoch": 1.2956529903295464,
+      "grad_norm": 3.059967041015625,
+      "learning_rate": 7.836836889051171e-06,
+      "loss": 7.8035,
+      "step": 13800
+    },
+    {
+      "epoch": 1.3050417801145433,
+      "grad_norm": 3.5380911827087402,
+      "learning_rate": 7.732512649314069e-06,
+      "loss": 7.8092,
+      "step": 13900
+    },
+    {
+      "epoch": 1.31443056989954,
+      "grad_norm": 4.589097499847412,
+      "learning_rate": 7.628188409576966e-06,
+      "loss": 7.7902,
+      "step": 14000
+    },
+    {
+      "epoch": 1.3238193596845367,
+      "grad_norm": 6.932407855987549,
+      "learning_rate": 7.523864169839863e-06,
+      "loss": 7.8114,
+      "step": 14100
+    },
+    {
+      "epoch": 1.3332081494695334,
+      "grad_norm": 3.5786869525909424,
+      "learning_rate": 7.41953993010276e-06,
+      "loss": 7.8112,
+      "step": 14200
+    },
+    {
+      "epoch": 1.34259693925453,
+      "grad_norm": 4.283187389373779,
+      "learning_rate": 7.315215690365657e-06,
+      "loss": 7.8036,
+      "step": 14300
+    },
+    {
+      "epoch": 1.3519857290395267,
+      "grad_norm": 14.625285148620605,
+      "learning_rate": 7.210891450628554e-06,
+      "loss": 7.8178,
+      "step": 14400
+    },
+    {
+      "epoch": 1.3613745188245234,
+      "grad_norm": 3.5072567462921143,
+      "learning_rate": 7.106567210891451e-06,
+      "loss": 7.8391,
+      "step": 14500
+    },
+    {
+      "epoch": 1.3707633086095203,
+      "grad_norm": 4.140475749969482,
+      "learning_rate": 7.002242971154349e-06,
+      "loss": 7.8151,
+      "step": 14600
+    },
+    {
+      "epoch": 1.380152098394517,
+      "grad_norm": 6.985396385192871,
+      "learning_rate": 6.897918731417246e-06,
+      "loss": 7.7957,
+      "step": 14700
+    },
+    {
+      "epoch": 1.3895408881795137,
+      "grad_norm": 3.8024065494537354,
+      "learning_rate": 6.793594491680142e-06,
+      "loss": 7.7833,
+      "step": 14800
+    },
+    {
+      "epoch": 1.3989296779645104,
+      "grad_norm": 4.183823585510254,
+      "learning_rate": 6.689270251943039e-06,
+      "loss": 7.8049,
+      "step": 14900
+    },
+    {
+      "epoch": 1.408318467749507,
+      "grad_norm": 3.431105375289917,
+      "learning_rate": 6.5849460122059365e-06,
+      "loss": 7.8163,
+      "step": 15000
+    },
+    {
+      "epoch": 1.408318467749507,
+      "eval_loss": 7.807833671569824,
+      "eval_runtime": 335.7694,
+      "eval_samples_per_second": 1015.063,
+      "eval_steps_per_second": 7.931,
+      "step": 15000
+    },
+    {
+      "epoch": 1.4177072575345038,
+      "grad_norm": 8.183846473693848,
+      "learning_rate": 6.480621772468834e-06,
+      "loss": 7.7864,
+      "step": 15100
+    },
+    {
+      "epoch": 1.4270960473195005,
+      "grad_norm": 11.66592788696289,
+      "learning_rate": 6.376297532731731e-06,
+      "loss": 7.8241,
+      "step": 15200
+    },
+    {
+      "epoch": 1.4364848371044971,
+      "grad_norm": 9.620813369750977,
+      "learning_rate": 6.271973292994628e-06,
+      "loss": 7.7694,
+      "step": 15300
+    },
+    {
+      "epoch": 1.4458736268894938,
+      "grad_norm": 4.250575065612793,
+      "learning_rate": 6.167649053257525e-06,
+      "loss": 7.7784,
+      "step": 15400
+    },
+    {
+      "epoch": 1.4552624166744907,
+      "grad_norm": 3.8679049015045166,
+      "learning_rate": 6.0633248135204214e-06,
+      "loss": 7.7628,
+      "step": 15500
+    },
+    {
+      "epoch": 1.4646512064594874,
+      "grad_norm": 4.648382186889648,
+      "learning_rate": 5.959000573783319e-06,
+      "loss": 7.8044,
+      "step": 15600
+    },
+    {
+      "epoch": 1.4740399962444841,
+      "grad_norm": 4.5424113273620605,
+      "learning_rate": 5.854676334046217e-06,
+      "loss": 7.7871,
+      "step": 15700
+    },
+    {
+      "epoch": 1.4834287860294808,
+      "grad_norm": 4.026553630828857,
+      "learning_rate": 5.750352094309113e-06,
+      "loss": 7.809,
+      "step": 15800
+    },
+    {
+      "epoch": 1.4928175758144775,
+      "grad_norm": 6.175102233886719,
+      "learning_rate": 5.647071096969381e-06,
+      "loss": 7.7955,
+      "step": 15900
+    },
+    {
+      "epoch": 1.5022063655994742,
+      "grad_norm": 4.672608375549316,
+      "learning_rate": 5.542746857232279e-06,
+      "loss": 7.8056,
+      "step": 16000
+    },
+    {
+      "epoch": 1.5115951553844709,
+      "grad_norm": 7.012312412261963,
+      "learning_rate": 5.438422617495176e-06,
+      "loss": 7.774,
+      "step": 16100
+    },
+    {
+      "epoch": 1.5209839451694678,
+      "grad_norm": 5.2042131423950195,
+      "learning_rate": 5.334098377758072e-06,
+      "loss": 7.7874,
+      "step": 16200
+    },
+    {
+      "epoch": 1.5303727349544642,
+      "grad_norm": 3.745805501937866,
+      "learning_rate": 5.22977413802097e-06,
+      "loss": 7.7918,
+      "step": 16300
+    },
+    {
+      "epoch": 1.5397615247394612,
+      "grad_norm": 4.060446262359619,
+      "learning_rate": 5.125449898283867e-06,
+      "loss": 7.7787,
+      "step": 16400
+    },
+    {
+      "epoch": 1.5491503145244578,
+      "grad_norm": 21.851919174194336,
+      "learning_rate": 5.021125658546764e-06,
+      "loss": 7.7881,
+      "step": 16500
+    },
+    {
+      "epoch": 1.5585391043094545,
+      "grad_norm": 4.261013507843018,
+      "learning_rate": 4.916801418809661e-06,
+      "loss": 7.7723,
+      "step": 16600
+    },
+    {
+      "epoch": 1.5679278940944512,
+      "grad_norm": 3.9473931789398193,
+      "learning_rate": 4.812477179072558e-06,
+      "loss": 7.7809,
+      "step": 16700
+    },
+    {
+      "epoch": 1.577316683879448,
+      "grad_norm": 6.088964939117432,
+      "learning_rate": 4.709196181732826e-06,
+      "loss": 7.8096,
+      "step": 16800
+    },
+    {
+      "epoch": 1.5867054736644448,
+      "grad_norm": 7.912614822387695,
+      "learning_rate": 4.604871941995723e-06,
+      "loss": 7.7559,
+      "step": 16900
+    },
+    {
+      "epoch": 1.5960942634494413,
+      "grad_norm": 7.268245697021484,
+      "learning_rate": 4.50054770225862e-06,
+      "loss": 7.8063,
+      "step": 17000
+    },
+    {
+      "epoch": 1.6054830532344382,
+      "grad_norm": 15.331354141235352,
+      "learning_rate": 4.3962234625215175e-06,
+      "loss": 7.8137,
+      "step": 17100
+    },
+    {
+      "epoch": 1.6148718430194346,
+      "grad_norm": 5.976458549499512,
+      "learning_rate": 4.291899222784414e-06,
+      "loss": 7.761,
+      "step": 17200
+    },
+    {
+      "epoch": 1.6242606328044316,
+      "grad_norm": 4.332185745239258,
+      "learning_rate": 4.187574983047311e-06,
+      "loss": 7.7672,
+      "step": 17300
+    },
+    {
+      "epoch": 1.6336494225894282,
+      "grad_norm": 5.834400653839111,
+      "learning_rate": 4.083250743310209e-06,
+      "loss": 7.7939,
+      "step": 17400
+    },
+    {
+      "epoch": 1.643038212374425,
+      "grad_norm": 17.61608123779297,
+      "learning_rate": 3.978926503573105e-06,
+      "loss": 7.8052,
+      "step": 17500
+    },
+    {
+      "epoch": 1.6524270021594216,
+      "grad_norm": 4.811455249786377,
+      "learning_rate": 3.8746022638360024e-06,
+      "loss": 7.7519,
+      "step": 17600
+    },
+    {
+      "epoch": 1.6618157919444183,
+      "grad_norm": 4.777581691741943,
+      "learning_rate": 3.7702780240988996e-06,
+      "loss": 7.7643,
+      "step": 17700
+    },
+    {
+      "epoch": 1.6712045817294152,
+      "grad_norm": 3.996382474899292,
+      "learning_rate": 3.6659537843617963e-06,
+      "loss": 7.7823,
+      "step": 17800
+    },
+    {
+      "epoch": 1.6805933715144117,
+      "grad_norm": 13.98630142211914,
+      "learning_rate": 3.561629544624694e-06,
+      "loss": 7.7507,
+      "step": 17900
+    },
+    {
+      "epoch": 1.6899821612994086,
+      "grad_norm": 5.8219499588012695,
+      "learning_rate": 3.457305304887591e-06,
+      "loss": 7.777,
+      "step": 18000
+    },
+    {
+      "epoch": 1.699370951084405,
+      "grad_norm": 6.051421165466309,
+      "learning_rate": 3.352981065150488e-06,
+      "loss": 7.786,
+      "step": 18100
+    },
+    {
+      "epoch": 1.708759740869402,
+      "grad_norm": 7.037374019622803,
+      "learning_rate": 3.248656825413385e-06,
+      "loss": 7.8097,
+      "step": 18200
+    },
+    {
+      "epoch": 1.7181485306543987,
+      "grad_norm": 4.905298709869385,
+      "learning_rate": 3.1443325856762826e-06,
+      "loss": 7.7749,
+      "step": 18300
+    },
+    {
+      "epoch": 1.7275373204393953,
+      "grad_norm": 10.381073951721191,
+      "learning_rate": 3.0400083459391793e-06,
+      "loss": 7.7626,
+      "step": 18400
+    },
+    {
+      "epoch": 1.736926110224392,
+      "grad_norm": 4.788754463195801,
+      "learning_rate": 2.9356841062020765e-06,
+      "loss": 7.7783,
+      "step": 18500
+    },
+    {
+      "epoch": 1.7463149000093887,
+      "grad_norm": 7.451583385467529,
+      "learning_rate": 2.8313598664649732e-06,
+      "loss": 7.7552,
+      "step": 18600
+    },
+    {
+      "epoch": 1.7557036897943856,
+      "grad_norm": 4.68840217590332,
+      "learning_rate": 2.7270356267278704e-06,
+      "loss": 7.7837,
+      "step": 18700
+    },
+    {
+      "epoch": 1.765092479579382,
+      "grad_norm": 5.026941776275635,
+      "learning_rate": 2.6227113869907676e-06,
+      "loss": 7.7583,
+      "step": 18800
+    },
+    {
+      "epoch": 1.774481269364379,
+      "grad_norm": 5.614253520965576,
+      "learning_rate": 2.5183871472536647e-06,
+      "loss": 7.7617,
+      "step": 18900
+    },
+    {
+      "epoch": 1.7838700591493757,
+      "grad_norm": 67.81696319580078,
+      "learning_rate": 2.414062907516562e-06,
+      "loss": 7.7649,
+      "step": 19000
+    },
+    {
+      "epoch": 1.7932588489343724,
+      "grad_norm": 5.342656135559082,
+      "learning_rate": 2.3097386677794586e-06,
+      "loss": 7.7767,
+      "step": 19100
+    },
+    {
+      "epoch": 1.802647638719369,
+      "grad_norm": 5.355633735656738,
+      "learning_rate": 2.205414428042356e-06,
+      "loss": 7.7565,
+      "step": 19200
+    },
+    {
+      "epoch": 1.8120364285043657,
+      "grad_norm": 4.396353244781494,
+      "learning_rate": 2.101090188305253e-06,
+      "loss": 7.7702,
+      "step": 19300
+    },
+    {
+      "epoch": 1.8214252182893627,
+      "grad_norm": 7.156164646148682,
+      "learning_rate": 1.99676594856815e-06,
+      "loss": 7.7552,
+      "step": 19400
+    },
+    {
+      "epoch": 1.8308140080743591,
+      "grad_norm": 6.207972049713135,
+      "learning_rate": 1.8934849512284182e-06,
+      "loss": 7.7511,
+      "step": 19500
+    },
+    {
+      "epoch": 1.840202797859356,
+      "grad_norm": 19.932350158691406,
+      "learning_rate": 1.7891607114913152e-06,
+      "loss": 7.7818,
+      "step": 19600
+    },
+    {
+      "epoch": 1.8495915876443525,
+      "grad_norm": 5.5889811515808105,
+      "learning_rate": 1.6848364717542123e-06,
+      "loss": 7.7704,
+      "step": 19700
+    },
+    {
+      "epoch": 1.8589803774293494,
+      "grad_norm": 4.45137357711792,
+      "learning_rate": 1.5805122320171093e-06,
+      "loss": 7.7824,
+      "step": 19800
+    },
+    {
+      "epoch": 1.868369167214346,
+      "grad_norm": 4.196966648101807,
+      "learning_rate": 1.4761879922800062e-06,
+      "loss": 7.751,
+      "step": 19900
+    },
+    {
+      "epoch": 1.8777579569993428,
+      "grad_norm": 4.43785285949707,
+      "learning_rate": 1.3718637525429034e-06,
+      "loss": 7.7868,
+      "step": 20000
+    },
+    {
+      "epoch": 1.8777579569993428,
+      "eval_loss": 7.7942399978637695,
+      "eval_runtime": 335.6395,
+      "eval_samples_per_second": 1015.456,
+      "eval_steps_per_second": 7.934,
+      "step": 20000
+    },
+    {
+      "epoch": 1.8871467467843395,
+      "grad_norm": 4.186898231506348,
+      "learning_rate": 1.2675395128058006e-06,
+      "loss": 7.7981,
+      "step": 20100
+    },
+    {
+      "epoch": 1.8965355365693362,
+      "grad_norm": 3.898251533508301,
+      "learning_rate": 1.1632152730686975e-06,
+      "loss": 7.7673,
+      "step": 20200
+    },
+    {
+      "epoch": 1.905924326354333,
+      "grad_norm": 3.6025681495666504,
+      "learning_rate": 1.0588910333315947e-06,
+      "loss": 7.7695,
+      "step": 20300
+    },
+    {
+      "epoch": 1.9153131161393295,
+      "grad_norm": 4.628914833068848,
+      "learning_rate": 9.545667935944918e-07,
+      "loss": 7.7587,
+      "step": 20400
+    },
+    {
+      "epoch": 1.9247019059243264,
+      "grad_norm": 4.496853351593018,
+      "learning_rate": 8.502425538573889e-07,
+      "loss": 7.7444,
+      "step": 20500
+    }
+  ],
+  "logging_steps": 100,
+  "max_steps": 21302,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 2,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 0.0,
+  "train_batch_size": 128,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-20500/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6ea049d2d832069bea07040be4041d4f978baa54eb55f016301b0dad6a593f47
+size 5496