Model save

README.md

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+---
+license: other
+base_model: MathSymbol/BasicSFT_1.8_Pretrain_Lightning
+tags:
+- llama-factory
+- generated_from_trainer
+model-index:
+- name: WordProblem
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# WordProblem
+
+This model is a fine-tuned version of [MathSymbol/BasicSFT_1.8_Pretrain_Lightning](https://huggingface.co/MathSymbol/BasicSFT_1.8_Pretrain_Lightning) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1677
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.1923        | 0.1645 | 1500 | 0.1849          |
+| 0.176         | 0.3289 | 3000 | 0.1761          |
+| 0.1736        | 0.4934 | 4500 | 0.1709          |
+| 0.1688        | 0.6579 | 6000 | 0.1682          |
+| 0.1689        | 0.8223 | 7500 | 0.1677          |
+| 0.168         | 0.9868 | 9000 | 0.1677          |
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.17.1
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "transformers_version": "4.40.0"
+}

trainer_log.jsonl

@@ -34,3 +34,4 @@
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 {"current_steps": 9000, "total_steps": 9120, "loss": 0.168, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3904986054812396e-08, "epoch": 0.9868150544118857, "percentage": 98.68, "elapsed_time": "5:36:30", "remaining_time": "0:04:29"}
 {"current_steps": 9000, "total_steps": 9120, "loss": null, "eval_loss": 0.1676628440618515, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": null, "epoch": 0.9868150544118857, "percentage": 98.68, "elapsed_time": "5:36:30", "remaining_time": "0:04:29"}
+{"current_steps": 9120, "total_steps": 9120, "loss": null, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": null, "epoch": 0.9999725884707108, "percentage": 100.0, "elapsed_time": "5:43:04", "remaining_time": "0:00:00"}