Model save

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: facebook/wav2vec2-xls-r-300m
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: wav2vec2-xls-r-300m-breton
   results: []
@@ -15,14 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.0185
-- eval_wer: 0.5741
-- eval_cer: 0.2073
-- eval_runtime: 116.0001
-- eval_samples_per_second: 18.94
-- eval_steps_per_second: 2.371
-- epoch: 43.59
-- step: 4250
+- Loss: 0.9939
+- Wer: 0.4680
+- Cer: 0.1711
 
 ## Model description
 
@@ -50,9 +47,34 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.08
-- num_epochs: 60
+- num_epochs: 50
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 10.4347       | 2.56  | 250  | 3.7906          | 1.0    | 1.0    |
+| 3.2144        | 5.13  | 500  | 3.0622          | 1.0    | 1.0    |
+| 2.6193        | 7.69  | 750  | 1.6063          | 0.9122 | 0.4042 |
+| 1.3658        | 10.26 | 1000 | 1.0917          | 0.7061 | 0.2474 |
+| 0.9614        | 12.82 | 1250 | 0.9805          | 0.6384 | 0.2245 |
+| 0.7915        | 15.38 | 1500 | 0.9340          | 0.5989 | 0.2124 |
+| 0.6728        | 17.95 | 1750 | 0.9135          | 0.5735 | 0.2016 |
+| 0.5889        | 20.51 | 2000 | 0.9381          | 0.5443 | 0.1944 |
+| 0.5374        | 23.08 | 2250 | 0.9517          | 0.5372 | 0.1918 |
+| 0.4972        | 25.64 | 2500 | 0.9171          | 0.5134 | 0.1828 |
+| 0.4537        | 28.21 | 2750 | 0.9457          | 0.5043 | 0.1804 |
+| 0.4217        | 30.77 | 3000 | 0.9479          | 0.4957 | 0.1789 |
+| 0.4082        | 33.33 | 3250 | 0.9400          | 0.4906 | 0.1762 |
+| 0.4005        | 35.9  | 3500 | 0.9710          | 0.4881 | 0.1770 |
+| 0.3702        | 38.46 | 3750 | 0.9922          | 0.4792 | 0.1757 |
+| 0.3473        | 41.03 | 4000 | 0.9724          | 0.4760 | 0.1734 |
+| 0.3405        | 43.59 | 4250 | 0.9860          | 0.4726 | 0.1722 |
+| 0.325         | 46.15 | 4500 | 0.9888          | 0.4679 | 0.1705 |
+| 0.3193        | 48.72 | 4750 | 0.9939          | 0.4680 | 0.1711 |
+
+
 ### Framework versions
 
 - Transformers 4.35.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6c45be778eb64a724173031de184c91563c5c9ae0066c1e6f107bb66ce478b6f
+oid sha256:70b71634fe55216418b628f6bd79ee9d8e361f1d6d8dad39fd524a05dd23f418
 size 1261975580

runs/Dec28_13-30-11_cbfc029d1c58/events.out.tfevents.1703770297.cbfc029d1c58.219.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a8e29852027ffe55ef8bffe06fec85292c97de73113c7375aab31c292cb3d01a
-size 15116
+oid sha256:460533dfac6596c9a701de7cd0835492a84237c07e7d897be1fea05c770b78e4
+size 15992