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--- |
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base_model: ahxt/llama1_s_1.8B_experimental |
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library_name: peft |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: Cold-Rec-LLama-2-7B |
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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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# Cold-Rec-LLama-2-7B |
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This model is a fine-tuned version of [ahxt/llama1_s_1.8B_experimental](https://huggingface.co/ahxt/llama1_s_1.8B_experimental) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0777 |
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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: 0.001 |
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- train_batch_size: 16 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.03 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.2217 | 1.992 | 249 | 0.2119 | |
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| 0.1599 | 3.984 | 498 | 0.1558 | |
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| 0.1177 | 5.976 | 747 | 0.1157 | |
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| 0.0842 | 7.968 | 996 | 0.0875 | |
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| 0.075 | 9.96 | 1245 | 0.0776 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.43.3 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.19.1 |
