End of training

README.md

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+---
+base_model: huggingface/CodeBERTa-small-v1
+tags:
+- generated_from_trainer
+model-index:
+- name: huggingfaceCodeBerta-finetuned-the-stack-bash
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# huggingfaceCodeBerta-finetuned-the-stack-bash
+
+This model is a fine-tuned version of [huggingface/CodeBERTa-small-v1](https://huggingface.co/huggingface/CodeBERTa-small-v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4191
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- training_steps: 10000
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 3.3233        | 0.05  | 500   | 3.4143          |
+| 3.2135        | 0.1   | 1000  | 3.0184          |
+| 3.1977        | 0.15  | 1500  | 2.8537          |
+| 2.9303        | 0.2   | 2000  | 2.7396          |
+| 3.1618        | 0.25  | 2500  | 2.6954          |
+| 2.9122        | 0.3   | 3000  | 2.6338          |
+| 2.8965        | 0.35  | 3500  | 2.5881          |
+| 2.599         | 0.4   | 4000  | 2.5677          |
+| 2.8213        | 0.45  | 4500  | 2.5247          |
+| 2.516         | 0.5   | 5000  | 2.5118          |
+| 2.8975        | 0.55  | 5500  | 2.4817          |
+| 2.3503        | 0.6   | 6000  | 2.4803          |
+| 2.1736        | 0.65  | 6500  | 2.4650          |
+| 2.8777        | 0.7   | 7000  | 2.4394          |
+| 2.5809        | 0.75  | 7500  | 2.4391          |
+| 2.6986        | 0.8   | 8000  | 2.4199          |
+| 3.2199        | 0.85  | 8500  | 2.4354          |
+| 2.3214        | 0.9   | 9000  | 2.4174          |
+| 0.7788        | 0.95  | 9500  | 2.4156          |
+| 2.6361        | 1.0   | 10000 | 2.4191          |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.35.0",
+  "use_cache": false
+}