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Ai-Marshal/mistral_12.5k_A100_5epoch_adapter

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README.md ADDED
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+ ---
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+ license: apache-2.0
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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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+ base_model: mistralai/Mistral-7B-Instruct-v0.2
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+ datasets:
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+ - generator
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+ model-index:
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+ - name: Mistral_Sentiment_Classification_2024-04-03
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+ results: []
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+ ---
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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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+
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+ # Mistral_Sentiment_Classification_2024-04-03
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+
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+ This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2962
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2.5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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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: linear
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+ - lr_scheduler_warmup_steps: 0.03
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.4373 | 0.45 | 100 | 0.3295 |
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+ | 0.3287 | 0.9 | 200 | 0.3143 |
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+ | 0.3159 | 1.36 | 300 | 0.3080 |
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+ | 0.3061 | 1.81 | 400 | 0.3027 |
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+ | 0.3104 | 2.26 | 500 | 0.3004 |
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+ | 0.2914 | 2.71 | 600 | 0.2972 |
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+ | 0.2907 | 3.17 | 700 | 0.2973 |
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+ | 0.2799 | 3.62 | 800 | 0.2951 |
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+ | 0.265 | 4.07 | 900 | 0.2966 |
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+ | 0.259 | 4.52 | 1000 | 0.2965 |
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+ | 0.2723 | 4.98 | 1100 | 0.2962 |
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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 4.39.3
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ "task_type": "CAUSAL_LM",
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