End of training

README.md

@@ -1,8 +1,8 @@
 ---
 license: apache-2.0
+base_model: facebook/wav2vec2-base
 tags:
 - generated_from_trainer
-base_model: facebook/wav2vec2-base
 metrics:
 - wer
 model-index:
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6028
-- Wer: 0.3862
+- Loss: 1.4807
+- Wer: 0.7846
 
 ## Model description
 
@@ -38,41 +38,26 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 8
+- train_batch_size: 20
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- num_epochs: 100
+- num_epochs: 90
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch   | Step  | Validation Loss | Wer    |
-|:-------------:|:-------:|:-----:|:---------------:|:------:|
-| 3.0141        | 4.5455  | 500   | 4.3443          | 1.0    |
-| 2.9159        | 9.0909  | 1000  | 3.3390          | 1.0    |
-| 2.2697        | 13.6364 | 1500  | 2.3303          | 0.9577 |
-| 1.2118        | 18.1818 | 2000  | 1.4385          | 0.7634 |
-| 0.8524        | 22.7273 | 2500  | 1.0982          | 0.6593 |
-| 0.6842        | 27.2727 | 3000  | 0.9136          | 0.6028 |
-| 0.5746        | 31.8182 | 3500  | 0.8810          | 0.5732 |
-| 0.4857        | 36.3636 | 4000  | 0.8336          | 0.5443 |
-| 0.417         | 40.9091 | 4500  | 0.7018          | 0.5016 |
-| 0.3794        | 45.4545 | 5000  | 0.5961          | 0.4667 |
-| 0.3366        | 50.0    | 5500  | 0.6209          | 0.4585 |
-| 0.3044        | 54.5455 | 6000  | 0.5942          | 0.4407 |
-| 0.2783        | 59.0909 | 6500  | 0.5895          | 0.4313 |
-| 0.2626        | 63.6364 | 7000  | 0.6304          | 0.4350 |
-| 0.2402        | 68.1818 | 7500  | 0.6373          | 0.4215 |
-| 0.2287        | 72.7273 | 8000  | 0.5945          | 0.4033 |
-| 0.2173        | 77.2727 | 8500  | 0.6297          | 0.4126 |
-| 0.2059        | 81.8182 | 9000  | 0.6149          | 0.3951 |
-| 0.1924        | 86.3636 | 9500  | 0.6083          | 0.3967 |
-| 0.2043        | 90.9091 | 10000 | 0.5965          | 0.3866 |
-| 0.1913        | 95.4545 | 10500 | 0.6082          | 0.3890 |
-| 0.1934        | 100.0   | 11000 | 0.6028          | 0.3862 |
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 3.0074        | 11.3636 | 500  | 3.6612          | 1.0    |
+| 2.9103        | 22.7273 | 1000 | 3.2488          | 1.0    |
+| 2.8471        | 34.0909 | 1500 | 3.0912          | 1.0    |
+| 2.2661        | 45.4545 | 2000 | 2.4130          | 0.9951 |
+| 1.4007        | 56.8182 | 2500 | 1.9495          | 0.8854 |
+| 1.0587        | 68.1818 | 3000 | 1.6888          | 0.8167 |
+| 0.9269        | 79.5455 | 3500 | 1.4807          | 0.7846 |
 
 
 ### Framework versions

model.safetensors

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 size 377611120

runs/Jun17_11-30-44_68aa6ba5632c/events.out.tfevents.1718623893.68aa6ba5632c.1575.0

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+size 17334

training_args.bin

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 size 5112