---
license: other
tags:
- generated_from_trainer
base_model: facebook/opt-125m
model-index:
- name: opt_125_wiki_k10
  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. -->

# opt_125_wiki_k10

This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0748

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.1921        | 0.4172 | 500  | 1.1153          |
| 1.1596        | 0.8344 | 1000 | 1.0920          |
| 1.1265        | 1.2516 | 1500 | 1.0861          |
| 1.113         | 1.6688 | 2000 | 1.0788          |
| 1.0929        | 2.0859 | 2500 | 1.0763          |
| 1.0872        | 2.5031 | 3000 | 1.0760          |
| 1.0991        | 2.9203 | 3500 | 1.0750          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.2
- Datasets 2.19.1
- Tokenizers 0.19.1