---
license: mit
tags:
- generated_from_trainer
datasets:
- itihasa
metrics:
- bleu
model-index:
- name: M2M101
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: itihasa
      type: itihasa
      config: Itihasa
      split: test
      args: Itihasa
    metrics:
    - name: Bleu
      type: bleu
      value: 0.0
---

<!-- 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. -->

# M2M101

This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the itihasa dataset.
It achieves the following results on the evaluation set:
- Loss: 7.7213
- Bleu: 0.0
- Gen Len: 2.0
- Meteor: 0.0

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu | Gen Len | Meteor |
|:-------------:|:-----:|:-----:|:---------------:|:----:|:-------:|:------:|
| 0.0001        | 1.0   | 4698  | 7.5812          | 0.0  | 2.0     | 0.0    |
| 0.0           | 2.0   | 9396  | 7.0783          | 0.0  | 2.0     | 0.0    |
| 0.0           | 3.0   | 14094 | 8.0417          | 0.0  | 2.0     | 0.0    |
| 0.0           | 4.0   | 18792 | 7.7102          | 0.0  | 2.0     | 0.0    |
| 0.0           | 5.0   | 23490 | 7.7213          | 0.0  | 2.0     | 0.0    |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.3.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3