shpotes's picture
Training in progress, step 500
b44adc6
1%|β–ˆβ–ˆ | 100/8000 [07:12<9:10:12, 4.18s/it]
2%|β–ˆβ–ˆβ–ˆβ–ˆβ– | 200/8000 [14:20<10:55:34, 5.04s/it]
4%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Ž | 300/8000 [21:26<11:53:08, 5.56s/it]
5%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 400/8000 [28:21<5:51:55, 2.78s/it]
6%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ– | 499/8000 [35:20<4:57:32, 2.38s/it]
6%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 500/8000 [35:28<8:36:37, 4.13s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
***** Running Evaluation *****
Num examples = 2609
Batch size = 72
Configuration saved in ./checkpoint-500/config.json
{'eval_loss': 0.4678382873535156, 'eval_wer': 0.5768055997454661, 'eval_runtime': 131.6765, 'eval_samples_per_second': 19.814, 'eval_steps_per_second': 0.281, 'epoch': 6.25}
Model weights saved in ./checkpoint-500/pytorch_model.bin
Configuration saved in ./checkpoint-500/preprocessor_config.json
Configuration saved in ./preprocessor_config.json
7%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 599/8000 [45:39<8:13:59, 4.00s/it]
9%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Œ | 699/8000 [52:44<10:00:14, 4.93s/it]
10%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–Š | 800/8000 [59:43<5:43:52, 2.87s/it]
11%|β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‹ | 900/8000 [1:06:48<8:04:56, 4.10s/it]