Model save

README.md

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+---
+license: llama2
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: codellama/CodeLlama-7b-hf
+model-index:
+- name: zero-shot-prompting-codellama-2-7b_readsum
+  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. -->
+
+# zero-shot-prompting-codellama-2-7b_readsum
+
+This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5760
+
+## 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: 0.0001
+- 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: linear
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5059        | 0.21  | 300  | 1.6446          |
+| 1.3069        | 0.41  | 600  | 1.6194          |
+| 1.2804        | 0.62  | 900  | 1.6057          |
+| 1.415         | 0.82  | 1200 | 1.5966          |
+| 1.7712        | 1.03  | 1500 | 1.5898          |
+| 1.604         | 1.23  | 1800 | 1.5847          |
+| 1.5464        | 1.44  | 2100 | 1.5806          |
+| 1.6766        | 1.65  | 2400 | 1.5779          |
+| 1.5547        | 1.85  | 2700 | 1.5760          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0