File size: 3,643 Bytes
0020927 d5033e4 0020927 d5033e4 0020927 d5033e4 0020927 d5033e4 0020927 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 |
---
tags:
- generated_from_trainer
model-index:
- name: ''
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
#
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2965
- Wer: 0.3144
## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 2.888 | 0.51 | 400 | 3.7320 | 0.9440 |
| 3.1636 | 1.02 | 800 | 2.9188 | 1.1916 |
| 2.773 | 1.53 | 1200 | 2.3347 | 1.0134 |
| 0.7198 | 2.04 | 1600 | 0.6678 | 0.4826 |
| 0.5255 | 2.55 | 2000 | 0.4605 | 0.4135 |
| 0.3961 | 3.06 | 2400 | 0.4266 | 0.3955 |
| 0.3424 | 3.57 | 2800 | 0.3786 | 0.3741 |
| 0.3858 | 4.08 | 3200 | 0.3161 | 0.3552 |
| 0.3218 | 4.59 | 3600 | 0.3029 | 0.3510 |
| 0.199 | 5.1 | 4000 | 0.2988 | 0.3418 |
| 0.2054 | 5.61 | 4400 | 0.2873 | 0.3434 |
| 0.1704 | 6.12 | 4800 | 0.3129 | 0.3432 |
| 0.1805 | 6.63 | 5200 | 0.2963 | 0.3413 |
| 0.2091 | 7.14 | 5600 | 0.2755 | 0.3329 |
| 0.1971 | 7.65 | 6000 | 0.2706 | 0.3309 |
| 0.1237 | 8.16 | 6400 | 0.2823 | 0.3270 |
| 0.123 | 8.67 | 6800 | 0.2754 | 0.3246 |
| 0.103 | 9.18 | 7200 | 0.2917 | 0.3272 |
| 0.1143 | 9.69 | 7600 | 0.2885 | 0.3305 |
| 0.156 | 10.2 | 8000 | 0.2810 | 0.3288 |
| 0.167 | 10.71 | 8400 | 0.2689 | 0.3232 |
| 0.0815 | 11.22 | 8800 | 0.2899 | 0.3236 |
| 0.0844 | 11.73 | 9200 | 0.2798 | 0.3225 |
| 0.0775 | 12.24 | 9600 | 0.2894 | 0.3224 |
| 0.0677 | 12.75 | 10000 | 0.2838 | 0.3204 |
| 0.1383 | 13.27 | 10400 | 0.2959 | 0.3211 |
| 0.1233 | 13.77 | 10800 | 0.2922 | 0.3213 |
| 0.0688 | 14.29 | 11200 | 0.2903 | 0.3209 |
| 0.0655 | 14.8 | 11600 | 0.2868 | 0.3182 |
| 0.0449 | 15.31 | 12000 | 0.2959 | 0.3172 |
| 0.0421 | 15.82 | 12400 | 0.2966 | 0.3180 |
| 0.0858 | 16.33 | 12800 | 0.2941 | 0.3164 |
| 0.0859 | 16.84 | 13200 | 0.2980 | 0.3165 |
| 0.0561 | 17.35 | 13600 | 0.2965 | 0.3165 |
| 0.0506 | 17.86 | 14000 | 0.2935 | 0.3148 |
| 0.0312 | 18.37 | 14400 | 0.2964 | 0.3154 |
| 0.0403 | 18.88 | 14800 | 0.2967 | 0.3160 |
| 0.0924 | 19.39 | 15200 | 0.2955 | 0.3147 |
| 0.0585 | 19.9 | 15600 | 0.2965 | 0.3144 |
### Framework versions
- Transformers 4.17.0.dev0
- Pytorch 1.10.0+cu113
- Datasets 1.18.1
- Tokenizers 0.11.0
|