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End of training

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  1. README.md +71 -0
  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilbert-base-cased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: distil_final
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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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+ # distil_final
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+
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+ This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.5805
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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: 0.0002
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+ - train_batch_size: 10
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+ - eval_batch_size: 10
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 40
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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: 0.1
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+ - num_epochs: 4
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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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+ | 5.0926 | 0.32 | 10 | 3.9348 |
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+ | 3.9237 | 0.64 | 20 | 4.0141 |
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+ | 3.8084 | 0.96 | 30 | 3.8194 |
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+ | 3.6561 | 1.28 | 40 | 3.6860 |
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+ | 3.4836 | 1.6 | 50 | 3.6023 |
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+ | 3.5731 | 1.92 | 60 | 3.5904 |
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+ | 3.497 | 2.24 | 70 | 3.6435 |
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+ | 3.34 | 2.56 | 80 | 3.5359 |
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+ | 3.2943 | 2.88 | 90 | 3.6003 |
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+ | 3.0902 | 3.2 | 100 | 3.6634 |
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+ | 3.1061 | 3.52 | 110 | 3.6059 |
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+ | 3.1395 | 3.84 | 120 | 3.5805 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.0
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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