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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
|