README.md

metadata

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

debugging

This model is a fine-tuned version of 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