End of training

README.md

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+---
+base_model: NousResearch/Llama-2-7b-hf
+library_name: peft
+tags:
+- generated_from_trainer
+model-index:
+- name: translation_llm
+  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. -->
+
+# translation_llm
+
+This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0039
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.0063        | 0.8591 | 1000 | 0.0110          |
+| 0.0041        | 1.7181 | 2000 | 0.0089          |
+| 0.0016        | 2.5772 | 3000 | 0.0086          |
+| 0.0006        | 3.4362 | 4000 | 0.0041          |
+| 0.0023        | 4.2953 | 5000 | 0.0039          |
+
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1