---
license: other
base_model: facebook/opt-350m
tags:
- generated_from_trainer
model-index:
- name: langauage-model
  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. -->

# langauage-model

This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4264

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.5452        | 1.0   | 1120  | 3.4734          |
| 3.5075        | 2.0   | 2240  | 3.4529          |
| 3.478         | 3.0   | 3360  | 3.4433          |
| 3.4807        | 4.0   | 4480  | 3.4370          |
| 3.4555        | 5.0   | 5600  | 3.4329          |
| 3.4554        | 6.0   | 6720  | 3.4302          |
| 3.4475        | 7.0   | 7840  | 3.4284          |
| 3.4466        | 8.0   | 8960  | 3.4273          |
| 3.4442        | 9.0   | 10080 | 3.4266          |
| 3.4442        | 10.0  | 11200 | 3.4264          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1