---
base_model: ahxt/llama1_s_1.8B_experimental
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Cold-Rec-LLama-2-7B
  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. -->

# Cold-Rec-LLama-2-7B

This model is a fine-tuned version of [ahxt/llama1_s_1.8B_experimental](https://huggingface.co/ahxt/llama1_s_1.8B_experimental) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0777

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 32
- 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
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2217        | 1.992 | 249  | 0.2119          |
| 0.1599        | 3.984 | 498  | 0.1558          |
| 0.1177        | 5.976 | 747  | 0.1157          |
| 0.0842        | 7.968 | 996  | 0.0875          |
| 0.075         | 9.96  | 1245 | 0.0776          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.43.3
- Pytorch 2.3.1+cu121
- Datasets 2.17.0
- Tokenizers 0.19.1