Merge remote-tracking branch 'origin/main' into main

README.md

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+---
+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: 0.3350
+- Wer: 0.3441
+
+## 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: 0.0003
+- 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: 400
+- num_epochs: 20.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 2.2943        | 0.51  | 400   | 4.4367          | 0.9745 |
+| 2.8816        | 1.02  | 800   | 2.8103          | 1.2576 |
+| 2.7842        | 1.53  | 1200  | 2.6832          | 1.1330 |
+| 2.313         | 2.04  | 1600  | 2.6678          | 1.1348 |
+| 2.2897        | 2.55  | 2000  | 2.5744          | 1.2102 |
+| 1.3821        | 3.06  | 2400  | 2.9908          | 0.9377 |
+| 1.074         | 3.57  | 2800  | 2.6649          | 0.8966 |
+| 1.3643        | 4.08  | 3200  | 1.0064          | 0.7236 |
+| 0.8286        | 4.59  | 3600  | 0.6339          | 0.5454 |
+| 0.3872        | 5.1   | 4000  | 0.5170          | 0.4718 |
+| 0.3654        | 5.61  | 4400  | 0.4386          | 0.4420 |
+| 0.2672        | 6.12  | 4800  | 0.5186          | 0.4679 |
+| 0.2519        | 6.63  | 5200  | 0.4238          | 0.4177 |
+| 0.3293        | 7.14  | 5600  | 0.3584          | 0.3970 |
+| 0.314         | 7.65  | 6000  | 0.3325          | 0.3911 |
+| 0.1698        | 8.16  | 6400  | 0.3411          | 0.3855 |
+| 0.1682        | 8.67  | 6800  | 0.3239          | 0.3801 |
+| 0.1325        | 9.18  | 7200  | 0.3474          | 0.3832 |
+| 0.1577        | 9.69  | 7600  | 0.3289          | 0.3839 |
+| 0.2259        | 10.2  | 8000  | 0.3183          | 0.3756 |
+| 0.2473        | 10.71 | 8400  | 0.3132          | 0.3654 |
+| 0.1136        | 11.22 | 8800  | 0.3242          | 0.3670 |
+| 0.108         | 11.73 | 9200  | 0.3201          | 0.3601 |
+| 0.0806        | 12.24 | 9600  | 0.3223          | 0.3609 |
+| 0.0896        | 12.75 | 10000 | 0.3228          | 0.3584 |
+| 0.1642        | 13.27 | 10400 | 0.3140          | 0.3547 |
+| 0.1442        | 13.77 | 10800 | 0.3235          | 0.3539 |
+| 0.0802        | 14.29 | 11200 | 0.3175          | 0.3553 |
+| 0.0747        | 14.8  | 11600 | 0.3126          | 0.3512 |
+| 0.0488        | 15.31 | 12000 | 0.3292          | 0.3525 |
+| 0.0469        | 15.82 | 12400 | 0.3231          | 0.3504 |
+| 0.1021        | 16.33 | 12800 | 0.3230          | 0.3502 |
+| 0.0841        | 16.84 | 13200 | 0.3348          | 0.3513 |
+| 0.0502        | 17.35 | 13600 | 0.3318          | 0.3486 |
+| 0.059         | 17.86 | 14000 | 0.3359          | 0.3462 |
+| 0.0417        | 18.37 | 14400 | 0.3310          | 0.3467 |
+| 0.0322        | 18.88 | 14800 | 0.3325          | 0.3467 |
+| 0.0531        | 19.39 | 15200 | 0.3357          | 0.3449 |
+| 0.0623        | 19.9  | 15600 | 0.3350          | 0.3441 |
+
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- Pytorch 1.10.0+cu113
+- Datasets 1.18.1
+- Tokenizers 0.11.0

all_results.json

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+{
+    "epoch": 20.0,
+    "eval_loss": 0.33464351296424866,
+    "eval_runtime": 2596.3533,
+    "eval_samples": 6233,
+    "eval_samples_per_second": 2.401,
+    "eval_steps_per_second": 0.3,
+    "eval_wer": 0.11869667850039962,
+    "train_loss": 0.6550551648090156,
+    "train_runtime": 151124.7681,
+    "train_samples": 50210,
+    "train_samples_per_second": 6.645,
+    "train_steps_per_second": 0.104
+}

eval_results.json

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+{
+    "epoch": 20.0,
+    "eval_loss": 0.33464351296424866,
+    "eval_runtime": 2596.3533,
+    "eval_samples": 6233,
+    "eval_samples_per_second": 2.401,
+    "eval_steps_per_second": 0.3,
+    "eval_wer": 0.11869667850039962
+}

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train_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.6550551648090156,
+    "train_runtime": 151124.7681,
+    "train_samples": 50210,
+    "train_samples_per_second": 6.645,
+    "train_steps_per_second": 0.104
+}