---
license: other
base_model: 01-ai/Yi-34B
tags:
- generated_from_trainer
model-index:
- name: yi_34B_8k_classification
  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_8k_classification

This model is a fine-tuned version of [01-ai/Yi-34B](https://huggingface.co/01-ai/Yi-34B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1806

## 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: 5e-07
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2209        | 1.0   | 223  | 0.1886          |
| 0.232         | 2.0   | 446  | 0.1809          |
| 0.1667        | 3.0   | 669  | 0.1806          |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.1