---
license: mit
base_model: facebook/m2m100_1.2B
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: cs_m2m_2e-5_50_v0.2
  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. -->

# cs_m2m_2e-5_50_v0.2

This model is a fine-tuned version of [facebook/m2m100_1.2B](https://huggingface.co/facebook/m2m100_1.2B) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3546
- Bleu: 46.5499
- Gen Len: 19.8571

## 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: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.0           | 1.0   | 6    | 2.4739          | 49.3833 | 19.8571 |
| 0.0           | 2.0   | 12   | 2.4967          | 47.4622 | 20.7143 |
| 0.0087        | 3.0   | 18   | 2.6016          | 47.8384 | 20.9524 |
| 0.0           | 4.0   | 24   | 2.6004          | 49.8858 | 19.9048 |
| 0.0825        | 5.0   | 30   | 2.4731          | 50.7434 | 19.9524 |
| 0.0           | 6.0   | 36   | 2.4229          | 45.2602 | 20.7619 |
| 0.0002        | 7.0   | 42   | 2.4148          | 45.5274 | 20.5238 |
| 0.0001        | 8.0   | 48   | 2.3583          | 47.4096 | 19.9524 |
| 0.0           | 9.0   | 54   | 2.3559          | 49.1212 | 20.1905 |
| 0.0           | 10.0  | 60   | 2.3610          | 47.0296 | 20.0952 |
| 0.0001        | 11.0  | 66   | 2.3423          | 47.2022 | 19.8571 |
| 0.0002        | 12.0  | 72   | 2.2938          | 48.5473 | 20.0952 |
| 0.0           | 13.0  | 78   | 2.2591          | 49.6382 | 19.4762 |
| 0.0001        | 14.0  | 84   | 2.2492          | 49.5102 | 19.6667 |
| 0.0001        | 15.0  | 90   | 2.2740          | 49.1707 | 19.6667 |
| 0.0           | 16.0  | 96   | 2.2876          | 48.9631 | 19.3333 |
| 0.0023        | 17.0  | 102  | 2.2842          | 48.7639 | 19.6667 |
| 0.0001        | 18.0  | 108  | 2.2830          | 45.9993 | 19.5238 |
| 0.0           | 19.0  | 114  | 2.2872          | 49.1391 | 19.7619 |
| 0.0           | 20.0  | 120  | 2.2893          | 49.1623 | 19.8095 |
| 0.0           | 21.0  | 126  | 2.2948          | 48.5803 | 20.0    |
| 0.0           | 22.0  | 132  | 2.3048          | 48.9732 | 20.0476 |
| 0.0           | 23.0  | 138  | 2.3114          | 49.1156 | 19.9524 |
| 0.0           | 24.0  | 144  | 2.3169          | 49.1156 | 19.9524 |
| 0.0           | 25.0  | 150  | 2.3202          | 48.4435 | 20.0    |
| 0.0           | 26.0  | 156  | 2.3227          | 48.4435 | 20.0    |
| 0.0           | 27.0  | 162  | 2.3236          | 48.4435 | 20.0    |
| 0.0           | 28.0  | 168  | 2.3244          | 48.4435 | 20.0    |
| 0.0           | 29.0  | 174  | 2.3268          | 48.4435 | 20.0    |
| 0.0002        | 30.0  | 180  | 2.3296          | 45.9582 | 19.8571 |
| 0.0           | 31.0  | 186  | 2.3319          | 45.9582 | 19.8571 |
| 0.0           | 32.0  | 192  | 2.3338          | 45.9582 | 19.8571 |
| 0.0           | 33.0  | 198  | 2.3401          | 46.8428 | 19.8571 |
| 0.0           | 34.0  | 204  | 2.3473          | 46.586  | 19.8095 |
| 0.0001        | 35.0  | 210  | 2.3513          | 46.586  | 19.8095 |
| 0.0           | 36.0  | 216  | 2.3539          | 48.1767 | 20.0476 |
| 0.0           | 37.0  | 222  | 2.3554          | 48.1966 | 19.9048 |
| 0.0           | 38.0  | 228  | 2.3563          | 48.1966 | 19.9048 |
| 0.0           | 39.0  | 234  | 2.3563          | 48.1966 | 19.9048 |
| 0.0           | 40.0  | 240  | 2.3550          | 46.5682 | 19.8095 |
| 0.0001        | 41.0  | 246  | 2.3541          | 46.5499 | 19.9524 |
| 0.0           | 42.0  | 252  | 2.3534          | 46.5499 | 19.8571 |
| 0.0001        | 43.0  | 258  | 2.3533          | 46.5499 | 19.8571 |
| 0.0           | 44.0  | 264  | 2.3533          | 46.5499 | 19.8571 |
| 0.0           | 45.0  | 270  | 2.3537          | 46.5499 | 19.8571 |
| 0.0001        | 46.0  | 276  | 2.3540          | 46.5499 | 19.8571 |
| 0.0           | 47.0  | 282  | 2.3543          | 46.5499 | 19.8571 |
| 0.0           | 48.0  | 288  | 2.3544          | 46.5499 | 19.8571 |
| 0.0           | 49.0  | 294  | 2.3545          | 46.5499 | 19.8571 |
| 0.0           | 50.0  | 300  | 2.3546          | 46.5499 | 19.8571 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2