Model save

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: Deci/DeciLM-7B
+model-index:
+- name: DeciLM7B-FineTuning-checkpoints
+  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. -->
+
+# DeciLM7B-FineTuning-checkpoints
+
+This model is a fine-tuned version of [Deci/DeciLM-7B](https://huggingface.co/Deci/DeciLM-7B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6058
+
+## 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: 0.0003
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: reduce_lr_on_plateau
+- lr_scheduler_warmup_steps: 150
+- training_steps: 738
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2254        | 3.23  | 100  | 2.1523          |
+| 0.4367        | 6.45  | 200  | 2.2709          |
+| 0.3763        | 9.68  | 300  | 2.4208          |
+| 0.3719        | 12.9  | 400  | 2.4735          |
+| 0.355         | 16.13 | 500  | 2.7165          |
+| 0.3513        | 19.35 | 600  | 2.7926          |
+| 0.3738        | 22.58 | 700  | 2.6058          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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