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---
license: llama2
base_model: TheBloke/Xwin-LM-70B-V0.1-GPTQ
tags:
- generated_from_trainer
model-index:
- name: Xwin70b_fans
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. -->
# Xwin70b_fans
This model is a fine-tuned version of [TheBloke/Xwin-LM-70B-V0.1-GPTQ](https://huggingface.co/TheBloke/Xwin-LM-70B-V0.1-GPTQ) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0073
## 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: 0.0004
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 120
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8351 | 0.02 | 10 | 1.4544 |
| 1.2903 | 0.04 | 20 | 1.2835 |
| 1.1891 | 0.07 | 30 | 1.1606 |
| 1.0652 | 0.09 | 40 | 1.1180 |
| 1.0889 | 0.11 | 50 | 1.0877 |
| 1.0931 | 0.13 | 60 | 1.0617 |
| 0.981 | 0.15 | 70 | 1.0435 |
| 0.9941 | 0.17 | 80 | 1.0276 |
| 0.9802 | 0.2 | 90 | 1.0218 |
| 1.1242 | 0.22 | 100 | 1.0135 |
| 1.0687 | 0.24 | 110 | 1.0111 |
| 0.9263 | 0.26 | 120 | 1.0073 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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