End of training

README.md

@@ -4,8 +4,8 @@ license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
 - generated_from_trainer
-datasets:
-- minds14
+metrics:
+- wer
 model-index:
 - name: ASRFineTune_1
   results: []
@@ -16,7 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ASRFineTune_1
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
+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: 11.3820
+- Wer: 1.0
 
 ## Model description
 
@@ -45,10 +48,18 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
 - training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 3.1227        | 200.0 | 1000 | 11.2571         | 1.0 |
+| 2.8681        | 400.0 | 2000 | 11.3820         | 1.0 |
+
 
 ### Framework versions
 
 - Transformers 4.44.2
 - Pytorch 2.5.0+cu121
-- Datasets 3.1.0
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9fc530f09d6fea12508a8a7912d9416ecfd8f5d835b76839988bee898e981a37
+oid sha256:805aaebcfc8a11d556e3a45f8e8d8115a5d0b950fda290112d5b3415dab221e0
 size 377611120