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End of training

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  1. README.md +78 -0
  2. generation_config.json +8 -0
README.md ADDED
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+ ---
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+ base_model: microsoft/codebert-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: CodeBert-finetuned-the-stack-bash
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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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+ # CodeBert-finetuned-the-stack-bash
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+
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+ This model is a fine-tuned version of [microsoft/codebert-base](https://huggingface.co/microsoft/codebert-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.0540
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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: 5e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 4
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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: 100
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+ - training_steps: 10000
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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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+ | 4.3461 | 0.05 | 500 | 4.6252 |
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+ | 3.028 | 0.1 | 1000 | 3.2745 |
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+ | 2.978 | 0.15 | 1500 | 2.8286 |
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+ | 3.2116 | 0.2 | 2000 | 2.5426 |
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+ | 2.9872 | 0.25 | 2500 | 2.4032 |
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+ | 2.5853 | 0.3 | 3000 | 2.3376 |
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+ | 2.6977 | 0.35 | 3500 | 2.2992 |
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+ | 2.5997 | 0.4 | 4000 | 2.2394 |
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+ | 2.3712 | 0.45 | 4500 | 2.1834 |
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+ | 2.1944 | 0.5 | 5000 | 2.1589 |
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+ | 2.4029 | 0.55 | 5500 | 2.1265 |
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+ | 2.3307 | 0.6 | 6000 | 2.1207 |
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+ | 2.45 | 0.65 | 6500 | 2.0951 |
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+ | 2.3575 | 0.7 | 7000 | 2.0987 |
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+ | 2.3894 | 0.75 | 7500 | 2.0740 |
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+ | 2.741 | 0.8 | 8000 | 2.0610 |
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+ | 1.6001 | 0.85 | 8500 | 2.0542 |
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+ | 2.5929 | 0.9 | 9000 | 2.0488 |
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+ | 2.0965 | 0.95 | 9500 | 2.0473 |
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+ | 2.6814 | 1.0 | 10000 | 2.0540 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.14.6
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+ - Tokenizers 0.14.1
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 0,
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+ "eos_token_id": 2,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.35.0",
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+ "use_cache": false
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+ }