Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+model-index:
+- name: ZeroShot-3.3.34-Mistral-7b-Multilanguage-3.3.0
+  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. -->
+
+# ZeroShot-3.3.34-Mistral-7b-Multilanguage-3.3.0
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3779
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.4843        | 0.09  | 100  | 0.4538          |
+| 0.4334        | 0.17  | 200  | 0.4199          |
+| 0.3905        | 0.26  | 300  | 0.4081          |
+| 0.4113        | 0.34  | 400  | 0.4017          |
+| 0.4019        | 0.43  | 500  | 0.3948          |
+| 0.38          | 0.51  | 600  | 0.3901          |
+| 0.3883        | 0.6   | 700  | 0.3860          |
+| 0.3894        | 0.68  | 800  | 0.3826          |
+| 0.3679        | 0.77  | 900  | 0.3800          |
+| 0.3764        | 0.85  | 1000 | 0.3784          |
+| 0.3717        | 0.94  | 1100 | 0.3779          |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2