Model save

README.md

@@ -2,29 +2,12 @@
 license: apache-2.0
 base_model: facebook/wav2vec2-large-xlsr-53
 tags:
-- automatic-speech-recognition
-- techiaith/banc-trawsgrifiadau-bangor
 - generated_from_trainer
-datasets:
-- banc-trawsgrifiadau-bangor
 metrics:
 - wer
 model-index:
 - name: wav2vec2-xlsr-53-ft-btb-cy
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: TECHIAITH/BANC-TRAWSGRIFIADAU-BANGOR - CY
-      type: banc-trawsgrifiadau-bangor
-      config: cy
-      split: test
-      args: 'Config: cy, Training split: train, Eval split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 0.44248649327805
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-xlsr-53-ft-btb-cy
 
-This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the TECHIAITH/BANC-TRAWSGRIFIADAU-BANGOR - CY 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: 0.5992
-- Wer: 0.4425
+- Loss: 1.9104
+- Wer: 0.8611
 
 ## Model description
 
@@ -68,17 +51,17 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 4.6574        | 1.41  | 500  | 1.0889          | 0.7293 |
-| 1.0887        | 2.83  | 1000 | 0.5992          | 0.4425 |
-| 0.7223        | 4.24  | 1500 | 0.7267          | 0.4631 |
-| 2.1295        | 5.66  | 2000 | 3.0492          | 0.9984 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 4.9658        | 1.4144 | 500  | 1.1674          | 0.8029 |
+| 1.2376        | 2.8289 | 1000 | 0.6298          | 0.4414 |
+| 0.8262        | 4.2433 | 1500 | 1.9106          | 0.8612 |
+| 1.9941        | 5.6577 | 2000 | 1.9104          | 0.8611 |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
-- Pytorch 2.1.1+cu121
-- Datasets 2.15.0
-- Tokenizers 0.15.0
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:276fa3051be664ac62cc75ba1ed63bb9171aa6f1fe5a71c7c4049b88669be291
+oid sha256:908a51921b6ae549fee0b30a785de425a34c0e1abe94d8a597d21b77c5740723
 size 1262024780