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---
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
|