metadata
license: mit
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: m2m100_lr_2e5_gradd_accum_2
results: []
m2m100_lr_2e5_gradd_accum_2
This model is a fine-tuned version of 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