transformers tensorboard safetensors marian text2text-generation translation generated_from_trainer base_model:Helsinki-NLP/opus-mt-tc-big-tr-en base_model:finetune:Helsinki-NLP/opus-mt-tc-big-tr-en license:cc-by-4.0 autotrain_compatible endpoints_compatible region:us
---
base_model: Helsinki-NLP/opus-mt-tc-big-tr-en
license: cc-by-4.0
tags:
- translation
- generated_from_trainer
model-index:
- name: nmt_v0random_head10k
  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. -->

# nmt_v0random_head10k

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-tr-en](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-tr-en) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.4075
- eval_bleu: 29.7605
- eval_runtime: 574.622
- eval_samples_per_second: 5.233
- eval_steps_per_second: 2.617
- step: 0

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

### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu118
- Datasets 2.4.0
- Tokenizers 0.19.1
