transformers pytorch tensorboard m2m_100 text2text-generation generated_from_trainer license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: m2m100_lr_2e5_gradd_accum_2
  results: []
---

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# m2m100_lr_2e5_gradd_accum_2

This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2890
- Bleu: 10.7134
- Gen Len: 45.3067
- Meteor: 0.3064
- Chrf: 33.9112

## 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: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 32.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len | Meteor | Chrf    |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:------:|:-------:|
| 3.3178        | 7.94  | 2406 | 2.7937          | 9.2429  | 47.6707 | 0.2869 | 31.5031 |
| 1.6761        | 15.88 | 4812 | 2.8455          | 10.5222 | 46.2192 | 0.3047 | 33.4306 |
| 1.0433        | 23.82 | 7218 | 3.0691          | 10.4711 | 46.6063 | 0.3042 | 33.6469 |
| 0.6522        | 31.76 | 9624 | 3.2890          | 10.7134 | 45.3067 | 0.3064 | 33.9112 |


### Framework versions

- Transformers 4.30.2
- Pytorch 1.11.0+cu113
- Datasets 2.10.0
- Tokenizers 0.12.1
