Model save

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+base_model: HuggingFaceH4/zephyr-7b-beta
+model-index:
+- name: Zeroshot-3.2.3-Mistral-7B-pipeline-config
+  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-3.2.3-Mistral-7B-pipeline-config
+
+This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7373
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.03
+- training_steps: 342
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.0342        | 0.81  | 50   | 0.8600          |
+| 0.8239        | 1.62  | 100  | 0.8089          |
+| 0.7904        | 2.43  | 150  | 0.7841          |
+| 0.7596        | 3.24  | 200  | 0.7662          |
+| 0.7394        | 4.05  | 250  | 0.7511          |
+| 0.7133        | 4.86  | 300  | 0.7373          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.38.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.16.1
+- Tokenizers 0.15.1