license: mit tags:
- generated_from_trainer datasets:
- iva_mt_wslot-exp metrics:
- bleu model-index:
- name: iva_mt_wslot-m2m100_418M-en-es-massive_unfiltered
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: iva_mt_wslot-exp
type: iva_mt_wslot-exp
config: en-es
split: validation
args: en-es
metrics:
- name: Bleu type: bleu value: 67.6426
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: iva_mt_wslot-exp
type: iva_mt_wslot-exp
config: en-es
split: validation
args: en-es
metrics:
iva_mt_wslot-m2m100_418M-en-es-massive_unfiltered
This model is a fine-tuned version of facebook/m2m100_418M on the iva_mt_wslot-exp dataset. It achieves the following results on the evaluation set:
- Loss: 0.0114
- Bleu: 67.6426
- Gen Len: 18.9134
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.0129 | 1.0 | 2879 | 0.0118 | 65.4383 | 18.8697 |
| 0.009 | 2.0 | 5758 | 0.0109 | 66.6878 | 18.9331 |
| 0.0066 | 3.0 | 8637 | 0.0107 | 66.6143 | 18.8687 |
| 0.0049 | 4.0 | 11516 | 0.0108 | 66.9832 | 18.8067 |
| 0.0037 | 5.0 | 14395 | 0.0109 | 67.452 | 18.8598 |
| 0.0028 | 6.0 | 17274 | 0.0112 | 67.4281 | 18.9213 |
| 0.0023 | 7.0 | 20153 | 0.0114 | 67.6426 | 18.9134 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3