---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: hfl/chinese-alpaca-2-7b
model-index:
- name: coinplusfire_chinese-alpaca-2-7b_full
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# coinplusfire_chinese-alpaca-2-7b_full

This model is a fine-tuned version of [hfl/chinese-alpaca-2-7b](https://huggingface.co/hfl/chinese-alpaca-2-7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5419

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3117        | 1.0   | 207  | 1.9098          |
| 1.878         | 2.0   | 414  | 1.7665          |
| 1.7555        | 3.0   | 621  | 1.6904          |
| 1.6743        | 4.0   | 828  | 1.6407          |
| 1.6157        | 5.0   | 1035 | 1.6056          |
| 1.5661        | 6.0   | 1242 | 1.5841          |
| 1.5265        | 7.0   | 1449 | 1.5642          |
| 1.495         | 8.0   | 1656 | 1.5487          |
| 1.4711        | 9.0   | 1863 | 1.5431          |
| 1.4542        | 10.0  | 2070 | 1.5419          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2