m2m100_418M-finetuned-sah-to-feat
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: 1.0308
- Bleu: 4.6161
- Gen Len: 198.5197
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 24 | 2.4936 | 1.8237 | 198.2756 |
| No log | 2.0 | 48 | 2.0218 | 3.342 | 198.8268 |
| No log | 3.0 | 72 | 1.7435 | 3.0434 | 198.874 |
| No log | 4.0 | 96 | 1.5399 | 3.8934 | 198.7953 |
| No log | 5.0 | 120 | 1.3805 | 3.5157 | 198.9685 |
| No log | 6.0 | 144 | 1.2383 | 4.2008 | 198.7559 |
| No log | 7.0 | 168 | 1.1430 | 4.1967 | 198.7244 |
| No log | 8.0 | 192 | 1.0837 | 3.9657 | 198.7874 |
| No log | 9.0 | 216 | 1.0501 | 4.0903 | 198.5354 |
| No log | 10.0 | 240 | 1.0308 | 4.6161 | 198.5197 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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