Model save

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 base_model: facebook/wav2vec2-large-xlsr-53
 tags:
-- automatic-speech-recognition
-- DewiBrynJones/banc-trawsgrifiadau-bangor-clean-with-ccv
 - generated_from_trainer
 metrics:
 - wer
@@ -17,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-xlsr-53-ft-btb-ccv-cy
 
-This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the DEWIBRYNJONES/BANC-TRAWSGRIFIADAU-BANGOR-CLEAN-WITH-CCV - DEFAULT dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4200
-- Wer: 0.3227
+- Loss: 1.5563
+- Wer: 0.8702
 
 ## Model description
 
@@ -40,7 +38,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0003
-- train_batch_size: 64
+- train_batch_size: 128
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -53,26 +51,26 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer    |
 |:-------------:|:------:|:----:|:---------------:|:------:|
-| No log        | 0.1548 | 100  | 3.5623          | 1.0    |
-| No log        | 0.3096 | 200  | 3.2967          | 1.0    |
-| No log        | 0.4644 | 300  | 2.6484          | 1.0000 |
-| No log        | 0.6192 | 400  | 1.0602          | 0.7315 |
-| 3.6398        | 0.7740 | 500  | 0.8942          | 0.6696 |
-| 3.6398        | 0.9288 | 600  | 0.7116          | 0.5361 |
-| 3.6398        | 1.0836 | 700  | 0.6648          | 0.5101 |
-| 3.6398        | 1.2384 | 800  | 0.5869          | 0.4528 |
-| 3.6398        | 1.3932 | 900  | 0.5698          | 0.4359 |
-| 0.5976        | 1.5480 | 1000 | 0.5408          | 0.4112 |
-| 0.5976        | 1.7028 | 1100 | 0.5229          | 0.4196 |
-| 0.5976        | 1.8576 | 1200 | 0.5055          | 0.3955 |
-| 0.5976        | 2.0124 | 1300 | 0.4808          | 0.3709 |
-| 0.5976        | 2.1672 | 1400 | 0.4667          | 0.3580 |
-| 0.443         | 2.3220 | 1500 | 0.4573          | 0.3582 |
-| 0.443         | 2.4768 | 1600 | 0.4475          | 0.3452 |
-| 0.443         | 2.6316 | 1700 | 0.4369          | 0.3478 |
-| 0.443         | 2.7864 | 1800 | 0.4227          | 0.3298 |
-| 0.443         | 2.9412 | 1900 | 0.4169          | 0.3271 |
-| 0.3475        | 3.0960 | 2000 | 0.4200          | 0.3227 |
+| No log        | 0.3096 | 100  | 3.5623          | 1.0    |
+| No log        | 0.6192 | 200  | 3.1175          | 1.0    |
+| No log        | 0.9288 | 300  | 3.2933          | 1.0    |
+| No log        | 1.2384 | 400  | 0.9765          | 0.6866 |
+| 3.7398        | 1.5480 | 500  | 0.6787          | 0.4922 |
+| 3.7398        | 1.8576 | 600  | 0.6015          | 0.4347 |
+| 3.7398        | 2.1672 | 700  | 0.5699          | 0.4273 |
+| 3.7398        | 2.4768 | 800  | 0.5419          | 0.3958 |
+| 3.7398        | 2.7864 | 900  | 0.4971          | 0.3730 |
+| 0.5228        | 3.0960 | 1000 | 0.4960          | 0.3543 |
+| 0.5228        | 3.4056 | 1100 | 0.6977          | 0.4655 |
+| 0.5228        | 3.7152 | 1200 | 0.7999          | 0.5316 |
+| 0.5228        | 4.0248 | 1300 | 1.0526          | 0.6215 |
+| 0.5228        | 4.3344 | 1400 | 1.1285          | 0.7572 |
+| 0.9047        | 4.6440 | 1500 | 1.1593          | 0.7047 |
+| 0.9047        | 4.9536 | 1600 | 2.0401          | 0.9667 |
+| 0.9047        | 5.2632 | 1700 | 1.6264          | 0.8680 |
+| 0.9047        | 5.5728 | 1800 | 1.5916          | 0.8627 |
+| 0.9047        | 5.8824 | 1900 | 1.5764          | 0.8720 |
+| 1.6715        | 6.1920 | 2000 | 1.5563          | 0.8702 |
 
 
 ### Framework versions