| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: m2m100_lr_2e5_gradd_accum_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. --> |
|
|
| # 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 |
|
|
