---
library_name: transformers
base_model: bowphs/pythia-70m-multi
tags:
- generated_from_trainer
datasets:
- bowphs/europarl_parallel
metrics:
- accuracy
model-index:
- name: debugging
  results:
  - task:
      name: Causal Language Modeling
      type: text-generation
    dataset:
      name: bowphs/europarl_parallel
      type: bowphs/europarl_parallel
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.2825701437173418
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# debugging

This model is a fine-tuned version of [bowphs/pythia-70m-multi](https://huggingface.co/bowphs/pythia-70m-multi) on the bowphs/europarl_parallel dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0273
- Accuracy: 0.2826

## 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-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 4.4846        | 1.0   | 5488  | 4.4230          | 0.2390   |
| 4.1079        | 2.0   | 10976 | 4.1156          | 0.2717   |
| 3.9841        | 3.0   | 16464 | 4.0273          | 0.2826   |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0