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End of training
Browse files- README.md +21 -2
- adapter_model.bin +1 -1
- tokenizer.json +1 -8
- train_with_llm_answers.csv +0 -0
- training_args.bin +1 -1
README.md
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# mistral-7b-llm-science-exam
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This model is a fine-tuned version of [/kaggle/input/mistral-7b/Mistral-7B-v0.1](https://huggingface.co//kaggle/input/mistral-7b/Mistral-7B-v0.1) on the llm-science-exam dataset.
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## Model description
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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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:
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- num_epochs: 1
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.0
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- Datasets 2.
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- Tokenizers 0.14.0
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# mistral-7b-llm-science-exam
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This model is a fine-tuned version of [/kaggle/input/mistral-7b/Mistral-7B-v0.1](https://huggingface.co//kaggle/input/mistral-7b/Mistral-7B-v0.1) on the llm-science-exam dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3951
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- Map@3: 0.8976
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## Model description
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_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: 50
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Map@3 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 3.3769 | 0.11 | 50 | 1.8621 | 0.9238 |
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| 1.5772 | 0.23 | 100 | 0.5619 | 0.9119 |
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| 0.9202 | 0.34 | 150 | 0.3942 | 0.9095 |
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| 0.9485 | 0.45 | 200 | 0.4117 | 0.8976 |
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| 0.9698 | 0.56 | 250 | 0.4145 | 0.9048 |
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| 0.8731 | 0.68 | 300 | 0.4054 | 0.9048 |
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| 0.8929 | 0.79 | 350 | 0.3967 | 0.8976 |
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| 0.9737 | 0.9 | 400 | 0.3951 | 0.8976 |
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.0.0
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- Datasets 2.14.4
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- Tokenizers 0.14.0
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adapter_model.bin
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tokenizer.json
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"truncation": null,
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"padding":
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"strategy": "BatchLongest",
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"direction": "Left",
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"pad_to_multiple_of": null,
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"pad_id": 2,
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"pad_token": "</s>"
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"added_tokens": [
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"added_tokens": [
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train_with_llm_answers.csv
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training_args.bin
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