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·
c6dd428
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Parent(s):
33f3da9
update 28 tasks lora adapters
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- llama2_13b_peft/linguistics_puzzles/README.md +74 -0
- llama2_13b_peft/linguistics_puzzles/adapter_config.json +34 -0
- llama2_13b_peft/linguistics_puzzles/adapter_model.safetensors +3 -0
- llama2_13b_peft/linguistics_puzzles/all_results.json +12 -0
- llama2_13b_peft/linguistics_puzzles/eval_results.json +7 -0
- llama2_13b_peft/linguistics_puzzles/special_tokens_map.json +24 -0
- llama2_13b_peft/linguistics_puzzles/tokenizer.model +3 -0
- llama2_13b_peft/linguistics_puzzles/tokenizer_config.json +45 -0
- llama2_13b_peft/linguistics_puzzles/train_results.json +8 -0
- llama2_13b_peft/linguistics_puzzles/trainer_log.jsonl +106 -0
- llama2_13b_peft/linguistics_puzzles/trainer_state.json +767 -0
- llama2_13b_peft/linguistics_puzzles/training_args.bin +3 -0
- llama2_13b_peft/linguistics_puzzles/training_eval_loss.png +0 -0
- llama2_13b_peft/linguistics_puzzles/training_loss.png +0 -0
- llama2_13b_peft/news_commentary_de/README.md +85 -0
- llama2_13b_peft/news_commentary_de/adapter_config.json +33 -0
- llama2_13b_peft/news_commentary_de/adapter_model.safetensors +3 -0
- llama2_13b_peft/news_commentary_de/all_results.json +11 -0
- llama2_13b_peft/news_commentary_de/eval_results.json +7 -0
- llama2_13b_peft/news_commentary_de/special_tokens_map.json +24 -0
- llama2_13b_peft/news_commentary_de/tokenizer.model +3 -0
- llama2_13b_peft/news_commentary_de/tokenizer_config.json +45 -0
- llama2_13b_peft/news_commentary_de/train_results.json +7 -0
- llama2_13b_peft/news_commentary_de/trainer_log.jsonl +0 -0
- llama2_13b_peft/news_commentary_de/trainer_state.json +2990 -0
- llama2_13b_peft/news_commentary_de/training_args.bin +3 -0
- llama2_13b_peft/news_commentary_de/training_eval_loss.png +0 -0
- llama2_13b_peft/news_commentary_de/training_loss.png +0 -0
- llama2_13b_peft/news_commentary_it/README.md +67 -0
- llama2_13b_peft/news_commentary_it/adapter_config.json +34 -0
- llama2_13b_peft/news_commentary_it/adapter_model.safetensors +3 -0
- llama2_13b_peft/news_commentary_it/all_results.json +12 -0
- llama2_13b_peft/news_commentary_it/eval_results.json +7 -0
- llama2_13b_peft/news_commentary_it/special_tokens_map.json +24 -0
- llama2_13b_peft/news_commentary_it/tokenizer.model +3 -0
- llama2_13b_peft/news_commentary_it/tokenizer_config.json +45 -0
- llama2_13b_peft/news_commentary_it/train_results.json +8 -0
- llama2_13b_peft/news_commentary_it/trainer_log.jsonl +0 -0
- llama2_13b_peft/news_commentary_it/trainer_state.json +0 -0
- llama2_13b_peft/news_commentary_it/training_args.bin +3 -0
- llama2_13b_peft/news_commentary_it/training_eval_loss.png +0 -0
- llama2_13b_peft/news_commentary_it/training_loss.png +0 -0
- llama2_13b_peft/topical_chat/README.md +89 -0
- llama2_13b_peft/topical_chat/adapter_config.json +34 -0
- llama2_13b_peft/topical_chat/adapter_model.safetensors +3 -0
- llama2_13b_peft/topical_chat/all_results.json +12 -0
- llama2_13b_peft/topical_chat/eval_results.json +7 -0
- llama2_13b_peft/topical_chat/special_tokens_map.json +24 -0
- llama2_13b_peft/topical_chat/tokenizer.model +3 -0
- llama2_13b_peft/topical_chat/tokenizer_config.json +45 -0
llama2_13b_peft/linguistics_puzzles/README.md
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---
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license: other
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library_name: peft
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tags:
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- llama-factory
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- lora
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- generated_from_trainer
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base_model: /data1/model/llama2/meta-llama/Llama2-13b
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model-index:
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- name: linguistics_puzzles_no_sys
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# linguistics_puzzles_no_sys
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This model is a fine-tuned version of [/data1/model/llama2/meta-llama/Llama2-13b](https://huggingface.co//data1/model/llama2/meta-llama/Llama2-13b) on the linguistics_puzzles_no_sys dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5924
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- total_train_batch_size: 8
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- total_eval_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 20
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- num_epochs: 5.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.1276 | 0.5263 | 100 | 1.0876 |
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| 0.8128 | 1.0526 | 200 | 0.8153 |
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| 0.6705 | 1.5789 | 300 | 0.6892 |
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| 0.4876 | 2.1053 | 400 | 0.6225 |
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| 0.4435 | 2.6316 | 500 | 0.5924 |
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| 0.2743 | 3.1579 | 600 | 0.6151 |
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| 0.2846 | 3.6842 | 700 | 0.6084 |
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| 0.2069 | 4.2105 | 800 | 0.6427 |
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| 0.172 | 4.7368 | 900 | 0.6495 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.0
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- Pytorch 2.2.1
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- Datasets 2.18.0
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- Tokenizers 0.19.1
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llama2_13b_peft/linguistics_puzzles/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "/data1/model/llama2/meta-llama/Llama2-13b",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"k_proj",
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"q_proj",
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"up_proj",
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"gate_proj",
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"v_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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llama2_13b_peft/linguistics_puzzles/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef6dff2a000b0e4ef6a4db9d169cbaa257c1423e45fae8ef4f428ba9852e00f5
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size 125248064
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llama2_13b_peft/linguistics_puzzles/all_results.json
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{
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"epoch": 5.0,
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"eval_loss": 0.5924356579780579,
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"eval_runtime": 1.9025,
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"eval_samples_per_second": 42.05,
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"eval_steps_per_second": 5.256,
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"total_flos": 2.0275085174217114e+17,
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"train_loss": 0.5822552880487945,
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"train_runtime": 660.0352,
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"train_samples_per_second": 11.515,
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"train_steps_per_second": 1.439
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}
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llama2_13b_peft/linguistics_puzzles/eval_results.json
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{
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"epoch": 5.0,
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"eval_loss": 0.5924356579780579,
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"eval_runtime": 1.9025,
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"eval_samples_per_second": 42.05,
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"eval_steps_per_second": 5.256
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}
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llama2_13b_peft/linguistics_puzzles/special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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llama2_13b_peft/linguistics_puzzles/tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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llama2_13b_peft/linguistics_puzzles/tokenizer_config.json
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"add_prefix_space": true,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ content }}{% elif message['role'] == 'assistant' %}{{ content + '\\n' }}{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "</s>",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"split_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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llama2_13b_peft/linguistics_puzzles/train_results.json
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{
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"epoch": 5.0,
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"total_flos": 2.0275085174217114e+17,
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"train_loss": 0.5822552880487945,
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"train_runtime": 660.0352,
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"train_samples_per_second": 11.515,
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"train_steps_per_second": 1.439
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}
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llama2_13b_peft/linguistics_puzzles/trainer_log.jsonl
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llama2_13b_peft/linguistics_puzzles/trainer_state.json
ADDED
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llama2_13b_peft/linguistics_puzzles/training_args.bin
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llama2_13b_peft/linguistics_puzzles/training_eval_loss.png
ADDED
![]() |
llama2_13b_peft/linguistics_puzzles/training_loss.png
ADDED
![]() |
llama2_13b_peft/news_commentary_de/README.md
ADDED
@@ -0,0 +1,85 @@
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1 |
+
---
|
2 |
+
license: other
|
3 |
+
library_name: peft
|
4 |
+
tags:
|
5 |
+
- llama-factory
|
6 |
+
- lora
|
7 |
+
- generated_from_trainer
|
8 |
+
base_model: /data1/model/llama2/meta-llama/Llama2-13b
|
9 |
+
model-index:
|
10 |
+
- name: news_commentary_de_no_sys
|
11 |
+
results: []
|
12 |
+
---
|
13 |
+
|
14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
15 |
+
should probably proofread and complete it, then remove this comment. -->
|
16 |
+
|
17 |
+
# news_commentary_de_no_sys
|
18 |
+
|
19 |
+
This model is a fine-tuned version of [/data1/model/llama2/meta-llama/Llama2-13b](https://huggingface.co//data1/model/llama2/meta-llama/Llama2-13b) on the news_commentary_de_no_sys dataset.
|
20 |
+
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 0.6944
|
22 |
+
|
23 |
+
## Model description
|
24 |
+
|
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+
More information needed
|
26 |
+
|
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+
## Intended uses & limitations
|
28 |
+
|
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+
More information needed
|
30 |
+
|
31 |
+
## Training and evaluation data
|
32 |
+
|
33 |
+
More information needed
|
34 |
+
|
35 |
+
## Training procedure
|
36 |
+
|
37 |
+
### Training hyperparameters
|
38 |
+
|
39 |
+
The following hyperparameters were used during training:
|
40 |
+
- learning_rate: 1e-05
|
41 |
+
- train_batch_size: 8
|
42 |
+
- eval_batch_size: 8
|
43 |
+
- seed: 42
|
44 |
+
- distributed_type: multi-GPU
|
45 |
+
- num_devices: 2
|
46 |
+
- total_train_batch_size: 16
|
47 |
+
- total_eval_batch_size: 16
|
48 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
49 |
+
- lr_scheduler_type: cosine
|
50 |
+
- lr_scheduler_warmup_steps: 20
|
51 |
+
- num_epochs: 10.0
|
52 |
+
|
53 |
+
### Training results
|
54 |
+
|
55 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
56 |
+
|:-------------:|:-----:|:----:|:---------------:|
|
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+
| 0.7429 | 0.13 | 200 | 0.7712 |
|
58 |
+
| 0.7549 | 0.25 | 400 | 0.7434 |
|
59 |
+
| 0.7552 | 0.38 | 600 | 0.7330 |
|
60 |
+
| 0.7265 | 0.5 | 800 | 0.7256 |
|
61 |
+
| 0.7524 | 0.63 | 1000 | 0.7200 |
|
62 |
+
| 0.6976 | 0.75 | 1200 | 0.7151 |
|
63 |
+
| 0.7408 | 0.88 | 1400 | 0.7116 |
|
64 |
+
| 0.701 | 1.0 | 1600 | 0.7085 |
|
65 |
+
| 0.7084 | 1.13 | 1800 | 0.7059 |
|
66 |
+
| 0.6999 | 1.25 | 2000 | 0.7040 |
|
67 |
+
| 0.7182 | 1.38 | 2200 | 0.7022 |
|
68 |
+
| 0.7267 | 1.51 | 2400 | 0.6994 |
|
69 |
+
| 0.6912 | 1.63 | 2600 | 0.6972 |
|
70 |
+
| 0.6821 | 1.76 | 2800 | 0.6954 |
|
71 |
+
| 0.7104 | 1.88 | 3000 | 0.6944 |
|
72 |
+
| 0.6222 | 2.01 | 3200 | 0.6934 |
|
73 |
+
| 0.6383 | 2.13 | 3400 | 0.6974 |
|
74 |
+
| 0.6436 | 2.26 | 3600 | 0.6981 |
|
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+
| 0.6444 | 2.38 | 3800 | 0.6968 |
|
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+
| 0.6368 | 2.51 | 4000 | 0.6987 |
|
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+
|
78 |
+
|
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+
### Framework versions
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+
|
81 |
+
- PEFT 0.9.0
|
82 |
+
- Transformers 4.38.2
|
83 |
+
- Pytorch 2.2.1
|
84 |
+
- Datasets 2.18.0
|
85 |
+
- Tokenizers 0.15.2
|
llama2_13b_peft/news_commentary_de/adapter_config.json
ADDED
@@ -0,0 +1,33 @@
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"target_modules": [
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|
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27 |
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|
28 |
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|
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+
],
|
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"task_type": "CAUSAL_LM",
|
31 |
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"use_dora": false,
|
32 |
+
"use_rslora": false
|
33 |
+
}
|
llama2_13b_peft/news_commentary_de/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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llama2_13b_peft/news_commentary_de/all_results.json
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llama2_13b_peft/news_commentary_de/eval_results.json
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llama2_13b_peft/news_commentary_de/special_tokens_map.json
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llama2_13b_peft/news_commentary_de/tokenizer.model
ADDED
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llama2_13b_peft/news_commentary_de/tokenizer_config.json
ADDED
@@ -0,0 +1,45 @@
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llama2_13b_peft/news_commentary_de/trainer_log.jsonl
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llama2_13b_peft/news_commentary_de/training_eval_loss.png
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llama2_13b_peft/news_commentary_de/training_loss.png
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llama2_13b_peft/news_commentary_it/README.md
ADDED
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---
|
2 |
+
license: other
|
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+
library_name: peft
|
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+
tags:
|
5 |
+
- llama-factory
|
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+
- lora
|
7 |
+
- generated_from_trainer
|
8 |
+
base_model: /data1/model/llama2/meta-llama/Llama2-13b
|
9 |
+
model-index:
|
10 |
+
- name: news_commentary_it_no_sys
|
11 |
+
results: []
|
12 |
+
---
|
13 |
+
|
14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
15 |
+
should probably proofread and complete it, then remove this comment. -->
|
16 |
+
|
17 |
+
# news_commentary_it_no_sys
|
18 |
+
|
19 |
+
This model is a fine-tuned version of [/data1/model/llama2/meta-llama/Llama2-13b](https://huggingface.co//data1/model/llama2/meta-llama/Llama2-13b) on the news_commentary_it_no_sys dataset.
|
20 |
+
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 0.6415
|
22 |
+
|
23 |
+
## Model description
|
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+
|
25 |
+
More information needed
|
26 |
+
|
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+
## Intended uses & limitations
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+
|
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+
More information needed
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30 |
+
|
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+
## Training and evaluation data
|
32 |
+
|
33 |
+
More information needed
|
34 |
+
|
35 |
+
## Training procedure
|
36 |
+
|
37 |
+
### Training hyperparameters
|
38 |
+
|
39 |
+
The following hyperparameters were used during training:
|
40 |
+
- learning_rate: 5e-05
|
41 |
+
- train_batch_size: 4
|
42 |
+
- eval_batch_size: 4
|
43 |
+
- seed: 42
|
44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
+
- lr_scheduler_type: cosine
|
46 |
+
- lr_scheduler_warmup_steps: 20
|
47 |
+
- num_epochs: 5.0
|
48 |
+
|
49 |
+
### Training results
|
50 |
+
|
51 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
52 |
+
|:-------------:|:------:|:-----:|:---------------:|
|
53 |
+
| 0.7236 | 0.2807 | 2000 | 0.6710 |
|
54 |
+
| 0.724 | 0.5614 | 4000 | 0.6521 |
|
55 |
+
| 0.6455 | 0.8421 | 6000 | 0.6415 |
|
56 |
+
| 0.5533 | 1.1228 | 8000 | 0.6548 |
|
57 |
+
| 0.5192 | 1.4035 | 10000 | 0.6501 |
|
58 |
+
| 0.4796 | 1.6842 | 12000 | 0.6500 |
|
59 |
+
|
60 |
+
|
61 |
+
### Framework versions
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+
|
63 |
+
- PEFT 0.10.0
|
64 |
+
- Transformers 4.40.0
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65 |
+
- Pytorch 2.2.1
|
66 |
+
- Datasets 2.18.0
|
67 |
+
- Tokenizers 0.19.1
|
llama2_13b_peft/news_commentary_it/adapter_config.json
ADDED
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"alpha_pattern": {},
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"target_modules": [
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"up_proj",
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"k_proj",
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"gate_proj",
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"q_proj",
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"o_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
|
32 |
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"use_dora": false,
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"use_rslora": false
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}
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llama2_13b_peft/news_commentary_it/eval_results.json
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llama2_13b_peft/news_commentary_it/tokenizer.model
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size 499723
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llama2_13b_peft/news_commentary_it/tokenizer_config.json
ADDED
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}
|
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},
|
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"bos_token": "<s>",
|
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"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ content }}{% elif message['role'] == 'assistant' %}{{ content + '\\n' }}{% endif %}{% endfor %}",
|
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
|
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"split_special_tokens": false,
|
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"tokenizer_class": "LlamaTokenizer",
|
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"unk_token": "<unk>",
|
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"use_default_system_prompt": false
|
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+
}
|
llama2_13b_peft/news_commentary_it/train_results.json
ADDED
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llama2_13b_peft/news_commentary_it/trainer_log.jsonl
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llama2_13b_peft/news_commentary_it/trainer_state.json
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llama2_13b_peft/news_commentary_it/training_args.bin
ADDED
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llama2_13b_peft/news_commentary_it/training_eval_loss.png
ADDED
![]() |
llama2_13b_peft/news_commentary_it/training_loss.png
ADDED
![]() |
llama2_13b_peft/topical_chat/README.md
ADDED
@@ -0,0 +1,89 @@
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|
1 |
+
---
|
2 |
+
license: other
|
3 |
+
library_name: peft
|
4 |
+
tags:
|
5 |
+
- llama-factory
|
6 |
+
- lora
|
7 |
+
- generated_from_trainer
|
8 |
+
base_model: /data1/model/llama2/meta-llama/Llama2-13b
|
9 |
+
model-index:
|
10 |
+
- name: topical_chat_no_sys
|
11 |
+
results: []
|
12 |
+
---
|
13 |
+
|
14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
15 |
+
should probably proofread and complete it, then remove this comment. -->
|
16 |
+
|
17 |
+
# topical_chat_no_sys
|
18 |
+
|
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+
This model is a fine-tuned version of [/data1/model/llama2/meta-llama/Llama2-13b](https://huggingface.co//data1/model/llama2/meta-llama/Llama2-13b) on the topical_chat_no_sys dataset.
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+
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 1.8941
|
22 |
+
|
23 |
+
## Model description
|
24 |
+
|
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+
More information needed
|
26 |
+
|
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+
## Intended uses & limitations
|
28 |
+
|
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More information needed
|
30 |
+
|
31 |
+
## Training and evaluation data
|
32 |
+
|
33 |
+
More information needed
|
34 |
+
|
35 |
+
## Training procedure
|
36 |
+
|
37 |
+
### Training hyperparameters
|
38 |
+
|
39 |
+
The following hyperparameters were used during training:
|
40 |
+
- learning_rate: 5e-05
|
41 |
+
- train_batch_size: 4
|
42 |
+
- eval_batch_size: 4
|
43 |
+
- seed: 42
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44 |
+
- distributed_type: multi-GPU
|
45 |
+
- num_devices: 2
|
46 |
+
- total_train_batch_size: 8
|
47 |
+
- total_eval_batch_size: 8
|
48 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+
- lr_scheduler_type: cosine
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50 |
+
- lr_scheduler_warmup_steps: 20
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+
- num_epochs: 5.0
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52 |
+
|
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+
### Training results
|
54 |
+
|
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+
| Training Loss | Epoch | Step | Validation Loss |
|
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+
|:-------------:|:------:|:----:|:---------------:|
|
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+
| 2.1904 | 0.0472 | 100 | 2.1137 |
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+
| 1.9627 | 0.0944 | 200 | 2.0589 |
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+
| 2.0172 | 0.1416 | 300 | 2.0221 |
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+
| 1.8965 | 0.1889 | 400 | 1.9968 |
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+
| 1.9534 | 0.2361 | 500 | 1.9823 |
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+
| 1.8621 | 0.2833 | 600 | 1.9679 |
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+
| 1.9777 | 0.3305 | 700 | 1.9611 |
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+
| 2.0865 | 0.3777 | 800 | 1.9544 |
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+
| 1.9662 | 0.4249 | 900 | 1.9461 |
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+
| 1.8352 | 0.4721 | 1000 | 1.9376 |
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+
| 1.8973 | 0.5194 | 1100 | 1.9329 |
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+
| 1.9688 | 0.5666 | 1200 | 1.9264 |
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+
| 1.8383 | 0.6138 | 1300 | 1.9192 |
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+
| 1.9032 | 0.6610 | 1400 | 1.9146 |
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+
| 1.9295 | 0.7082 | 1500 | 1.9109 |
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+
| 1.8207 | 0.7554 | 1600 | 1.9061 |
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+
| 1.9119 | 0.8026 | 1700 | 1.9032 |
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+
| 1.8392 | 0.8499 | 1800 | 1.9019 |
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+
| 1.961 | 0.8971 | 1900 | 1.8994 |
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+
| 1.8913 | 0.9443 | 2000 | 1.8945 |
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+
| 1.8187 | 0.9915 | 2100 | 1.8941 |
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+
| 1.7296 | 1.0387 | 2200 | 1.9006 |
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+
| 1.6184 | 1.0859 | 2300 | 1.9040 |
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| 1.6973 | 1.1331 | 2400 | 1.9056 |
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|
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+
|
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+
### Framework versions
|
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+
|
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+
- PEFT 0.10.0
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+
- Transformers 4.40.0
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+
- Pytorch 2.2.1
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+
- Datasets 2.18.0
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89 |
+
- Tokenizers 0.19.1
|
llama2_13b_peft/topical_chat/adapter_config.json
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{
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"alpha_pattern": {},
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"base_model_name_or_path": "/data1/model/llama2/meta-llama/Llama2-13b",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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|
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"lora_dropout": 0.0,
|
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"megatron_config": null,
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"megatron_core": "megatron.core",
|
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"modules_to_save": null,
|
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"peft_type": "LORA",
|
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"r": 8,
|
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"rank_pattern": {},
|
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"revision": null,
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"target_modules": [
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"v_proj",
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"down_proj",
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"q_proj",
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"gate_proj",
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"up_proj",
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"k_proj",
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"o_proj"
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+
],
|
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+
"task_type": "CAUSAL_LM",
|
32 |
+
"use_dora": false,
|
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+
"use_rslora": false
|
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+
}
|
llama2_13b_peft/topical_chat/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:3e6e2ffd0565e16b426d000f5f8d1e22505be002104c4426830c2fe30127625f
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size 125248064
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llama2_13b_peft/topical_chat/all_results.json
ADDED
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|
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"total_flos": 9.512959383227597e+17,
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|
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"train_steps_per_second": 2.726
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}
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llama2_13b_peft/topical_chat/eval_results.json
ADDED
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"eval_steps_per_second": 2.74
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}
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llama2_13b_peft/topical_chat/special_tokens_map.json
ADDED
@@ -0,0 +1,24 @@
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|
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}
|
llama2_13b_peft/topical_chat/tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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llama2_13b_peft/topical_chat/tokenizer_config.json
ADDED
@@ -0,0 +1,45 @@
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"add_prefix_space": true,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "<s>",
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"chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ content }}{% elif message['role'] == 'assistant' %}{{ content + '\\n' }}{% endif %}{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "</s>",
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"padding_side": "right",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"split_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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