---
license: other
base_model: 01-ai/Yi-34B-Chat
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: yi-34b-v0.1
  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. -->

# yi-34b-v0.1

This model is a fine-tuned version of [01-ai/Yi-34B-Chat](https://huggingface.co/01-ai/Yi-34B-Chat) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8262

## 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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6791        | 0.99  | 63   | 0.6753          |
| 0.4164        | 1.99  | 127  | 0.7020          |
| 0.2065        | 2.96  | 189  | 0.8262          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2