End of training

README.md

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+---
+license: llama2
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: codellama/CodeLlama-7b-Instruct-hf
+metrics:
+- accuracy
+- bleu
+- sacrebleu
+- rouge
+model-index:
+- name: CodeLlama-7b-Instruct-hf_Fi__CMP_TR_size_304_epochs_10_2024-06-22_21-11-23_3558625
+  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. -->
+
+# CodeLlama-7b-Instruct-hf_Fi__CMP_TR_size_304_epochs_10_2024-06-22_21-11-23_3558625
+
+This model is a fine-tuned version of [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.9442
+- Accuracy: 0.464
+- Chrf: 0.282
+- Bleu: 0.212
+- Sacrebleu: 0.2
+- Rouge1: 0.473
+- Rouge2: 0.304
+- Rougel: 0.447
+- Rougelsum: 0.467
+- Meteor: 0.474
+
+## 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: 0.001
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 3407
+- distributed_type: multi-GPU
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 304
+- training_steps: 3040
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Chrf  | Bleu  | Sacrebleu | Rouge1 | Rouge2 | Rougel | Rougelsum | Meteor |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----:|:-----:|:---------:|:------:|:------:|:------:|:---------:|:------:|
+| 0.7293        | 1.0   | 304  | 2.8400          | 0.471    | 0.109 | 0.089 | 0.1       | 0.318  | 0.168  | 0.304  | 0.297     | 0.274  |
+| 0.043         | 2.0   | 608  | 3.2408          | 0.498    | 0.051 | 0.019 | 0.0       | 0.162  | 0.063  | 0.136  | 0.142     | 0.216  |
+| 0.0514        | 3.0   | 912  | 2.8322          | 0.478    | 0.156 | 0.059 | 0.1       | 0.3    | 0.145  | 0.284  | 0.289     | 0.289  |
+| 0.0145        | 4.0   | 1216 | 2.5898          | 0.478    | 0.101 | 0.064 | 0.1       | 0.263  | 0.167  | 0.258  | 0.258     | 0.32   |
+| 0.8203        | 5.0   | 1520 | 2.7395          | 0.478    | 0.16  | 0.049 | 0.0       | 0.306  | 0.114  | 0.284  | 0.298     | 0.27   |
+| 0.0546        | 6.0   | 1824 | 2.8379          | 0.458    | 0.052 | 0.022 | 0.0       | 0.068  | 0.0    | 0.056  | 0.057     | 0.21   |
+| 0.0352        | 7.0   | 2128 | 2.6987          | 0.481    | 0.165 | 0.133 | 0.1       | 0.356  | 0.246  | 0.352  | 0.355     | 0.33   |
+| 0.042         | 8.0   | 2432 | 2.0781          | 0.481    | 0.264 | 0.169 | 0.2       | 0.421  | 0.261  | 0.403  | 0.421     | 0.431  |
+| 0.0124        | 9.0   | 2736 | 1.9029          | 0.464    | 0.293 | 0.222 | 0.2       | 0.466  | 0.304  | 0.445  | 0.465     | 0.473  |
+| 0.0382        | 10.0  | 3040 | 1.9442          | 0.464    | 0.282 | 0.212 | 0.2       | 0.473  | 0.304  | 0.447  | 0.467     | 0.474  |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.37.0
+- Pytorch 2.2.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.15.2

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