---
license: mit
base_model: facebook/m2m100_1.2B
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: cs_m2m_0.01_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_0.01_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: 6.9335
- Bleu: 0.0
- Gen Len: 5.0

## 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: 0.01
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 16.8785       | 1.0   | 6    | 18.9290         | 0.0    | 200.0   |
| 14.9532       | 2.0   | 12   | 16.0041         | 0.0    | 2.0     |
| 9.473         | 3.0   | 18   | 11.4783         | 0.0    | 200.0   |
| 9.3819        | 4.0   | 24   | 11.3159         | 0.0    | 200.0   |
| 8.2604        | 5.0   | 30   | 10.0462         | 0.0    | 2.0     |
| 7.2006        | 6.0   | 36   | 9.0670          | 0.1706 | 6.0     |
| 7.1892        | 7.0   | 42   | 8.6881          | 0.0    | 200.0   |
| 5.8213        | 8.0   | 48   | 8.4889          | 0.0    | 6.0     |
| 6.088         | 9.0   | 54   | 8.1473          | 0.0    | 2.0     |
| 5.4934        | 10.0  | 60   | 7.8530          | 0.0    | 6.0     |
| 5.3899        | 11.0  | 66   | 7.6030          | 0.0    | 3.0     |
| 5.755         | 12.0  | 72   | 7.2990          | 0.0    | 3.0     |
| 5.902         | 13.0  | 78   | 7.1387          | 0.0    | 6.0     |
| 5.1716        | 14.0  | 84   | 7.3531          | 0.0    | 3.0     |
| 5.384         | 15.0  | 90   | 7.4897          | 0.0    | 3.0     |
| 5.772         | 16.0  | 96   | 7.3353          | 0.0    | 3.0     |
| 6.0137        | 17.0  | 102  | 7.2840          | 0.0    | 6.0     |
| 5.3564        | 18.0  | 108  | 7.2226          | 0.0    | 4.0     |
| 4.6533        | 19.0  | 114  | 6.9603          | 0.0    | 3.0     |
| 5.2785        | 20.0  | 120  | 7.1881          | 0.0    | 4.0     |
| 6.822         | 21.0  | 126  | 7.1262          | 0.0    | 4.0     |
| 5.027         | 22.0  | 132  | 7.5066          | 0.0    | 200.0   |
| 5.2595        | 23.0  | 138  | 7.0461          | 0.0    | 4.0     |
| 5.7311        | 24.0  | 144  | 7.5675          | 0.0    | 200.0   |
| 5.19          | 25.0  | 150  | 6.9761          | 0.0    | 4.0     |
| 5.4136        | 26.0  | 156  | 7.0165          | 0.0    | 6.0     |
| 5.3953        | 27.0  | 162  | 7.0036          | 0.0    | 5.0     |
| 5.1609        | 28.0  | 168  | 7.2334          | 0.0    | 200.0   |
| 4.1589        | 29.0  | 174  | 6.8345          | 0.0    | 3.0     |
| 6.129         | 30.0  | 180  | 7.0334          | 0.0    | 4.0     |
| 3.9707        | 31.0  | 186  | 6.8262          | 0.0    | 4.0     |
| 4.851         | 32.0  | 192  | 6.7521          | 0.0    | 4.0     |
| 4.8473        | 33.0  | 198  | 6.8321          | 0.0    | 4.0     |
| 4.6168        | 34.0  | 204  | 6.8539          | 0.0    | 4.0     |
| 4.304         | 35.0  | 210  | 6.9346          | 0.0    | 4.0     |
| 5.0315        | 36.0  | 216  | 7.0995          | 0.0    | 132.0   |
| 4.5656        | 37.0  | 222  | 6.9738          | 0.0    | 4.0     |
| 4.3283        | 38.0  | 228  | 6.8871          | 0.0    | 4.0     |
| 4.8156        | 39.0  | 234  | 6.9938          | 0.0    | 4.0     |
| 4.6101        | 40.0  | 240  | 7.0034          | 0.0    | 5.0     |
| 5.1564        | 41.0  | 246  | 6.9462          | 0.0    | 5.0     |
| 4.432         | 42.0  | 252  | 7.0158          | 0.0    | 4.0     |
| 5.0996        | 43.0  | 258  | 7.0378          | 0.0    | 5.0     |
| 4.3684        | 44.0  | 264  | 6.9261          | 0.0    | 5.0     |
| 5.2601        | 45.0  | 270  | 6.9520          | 0.0169 | 200.0   |
| 4.4939        | 46.0  | 276  | 6.9559          | 0.0    | 5.0     |
| 4.7493        | 47.0  | 282  | 6.9144          | 0.0    | 5.0     |
| 4.615         | 48.0  | 288  | 6.9272          | 0.0    | 5.0     |
| 5.5171        | 49.0  | 294  | 6.9316          | 0.0    | 5.0     |
| 5.077         | 50.0  | 300  | 6.9335          | 0.0    | 5.0     |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0