seamless-m4t_v2_iv_no_lang_id_indic_voices_49371_trial
This model is a fine-tuned version of facebook/seamless-m4t-v2-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7086
- Global Wer: 38.3315
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: 5e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss | Global Wer |
|---|---|---|---|---|
| 8.5451 | 0.0122 | 50 | 2.5372 | 119.7383 |
| 6.5585 | 0.0244 | 100 | 2.2185 | 117.3937 |
| 3.6647 | 0.0365 | 150 | 2.0342 | 113.6314 |
| 1.7786 | 0.0487 | 200 | 1.0246 | 49.7819 |
| 1.0970 | 0.0609 | 250 | 0.8524 | 51.0360 |
| 1.0066 | 0.0731 | 300 | 0.8002 | 39.9128 |
| 0.8442 | 0.0853 | 350 | 0.7639 | 39.1494 |
| 0.8565 | 0.0974 | 400 | 0.7344 | 38.3315 |
| 0.8217 | 0.1096 | 450 | 0.7234 | 38.6587 |
| 0.8444 | 0.1218 | 500 | 0.7086 | 38.3315 |
Framework versions
- Transformers 5.0.0.dev0
- Pytorch 2.9.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.2
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Model tree for dianavdavidson/seamless-m4t_v2_iv_no_lang_id_indic_voices_49371_trial
Base model
facebook/seamless-m4t-v2-large