End of training

README.md

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+---
+base_model: microsoft/codebert-base-mlm
+tags:
+- generated_from_trainer
+model-index:
+- name: huggingfacecodebert-base-mlm-finetuned-st
+  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. -->
+
+# huggingfacecodebert-base-mlm-finetuned-st
+
+This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9298
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.761         | 0.05  | 500   | 1.6477          |
+| 1.2184        | 0.1   | 1000  | 1.2377          |
+| 0.9962        | 0.15  | 1500  | 1.1013          |
+| 0.026         | 0.2   | 2000  | 1.0762          |
+| 0.0266        | 0.25  | 2500  | 1.0639          |
+| 0.6503        | 0.3   | 3000  | 0.9464          |
+| 0.382         | 0.35  | 3500  | 0.9406          |
+| 0.6019        | 0.4   | 4000  | 0.9027          |
+| 0.39          | 0.45  | 4500  | 0.8842          |
+| 0.0243        | 0.5   | 5000  | 0.9107          |
+| 0.0238        | 0.55  | 5500  | 0.9165          |
+| 0.205         | 0.6   | 6000  | 0.9304          |
+| 0.4026        | 0.65  | 6500  | 0.9098          |
+| 0.334         | 0.7   | 7000  | 0.9271          |
+| 0.2539        | 0.75  | 7500  | 0.9402          |
+| 0.1819        | 0.8   | 8000  | 0.9272          |
+| 0.5093        | 0.85  | 8500  | 0.9314          |
+| 0.0882        | 0.9   | 9000  | 0.9259          |
+| 0.3341        | 0.95  | 9500  | 0.9275          |
+| 0.0233        | 1.0   | 10000 | 0.9298          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Tokenizers 0.15.0

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": "4.35.2",
+  "use_cache": false
+}