End of training

README.md

@@ -1,11 +1,28 @@
 ---
 license: apache-2.0
+base_model: facebook/wav2vec2-base
 tags:
 - generated_from_trainer
-base_model: lasion/wav2vec2-base-timit-demo-google-colab
+datasets:
+- timit_asr
+metrics:
+- wer
 model-index:
 - name: wav2vec2-base-timit-demo-google-colab
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: timit_asr
+      type: timit_asr
+      config: clean
+      split: test
+      args: clean
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.3367100820067535
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,7 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-base-timit-demo-google-colab
 
-This model is a fine-tuned version of [lasion/wav2vec2-base-timit-demo-google-colab](https://huggingface.co/lasion/wav2vec2-base-timit-demo-google-colab) on the None dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the timit_asr dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4634
+- Wer: 0.3367
 
 ## Model description
 
@@ -39,16 +59,37 @@ 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_steps: 1000
-- num_epochs: 1
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 3.6019        | 1.0   | 500  | 2.4586          | 1.0    |
+| 0.9594        | 2.01  | 1000 | 0.5023          | 0.5122 |
+| 0.4324        | 3.01  | 1500 | 0.4808          | 0.4703 |
+| 0.2991        | 4.02  | 2000 | 0.4098          | 0.4208 |
+| 0.2257        | 5.02  | 2500 | 0.4883          | 0.4264 |
+| 0.18          | 6.02  | 3000 | 0.4441          | 0.3914 |
+| 0.1524        | 7.03  | 3500 | 0.4360          | 0.3869 |
+| 0.1315        | 8.03  | 4000 | 0.4448          | 0.3783 |
+| 0.1101        | 9.04  | 4500 | 0.4570          | 0.3704 |
+| 0.1017        | 10.04 | 5000 | 0.4252          | 0.3680 |
+| 0.0863        | 11.04 | 5500 | 0.4492          | 0.3606 |
+| 0.0798        | 12.05 | 6000 | 0.4241          | 0.3604 |
+| 0.0688        | 13.05 | 6500 | 0.4585          | 0.3535 |
+| 0.0608        | 14.06 | 7000 | 0.4491          | 0.3488 |
+| 0.0524        | 15.06 | 7500 | 0.4550          | 0.3456 |
+| 0.0502        | 16.06 | 8000 | 0.4570          | 0.3453 |
+| 0.0458        | 17.07 | 8500 | 0.4680          | 0.3421 |
+| 0.0395        | 18.07 | 9000 | 0.4663          | 0.3390 |
+| 0.0352        | 19.08 | 9500 | 0.4634          | 0.3367 |
 
 
 ### Framework versions
 
-- Transformers 4.39.2
-- Pytorch 2.2.1+cu121
+- Transformers 4.38.2
+- Pytorch 2.1.2
 - Datasets 1.18.3
 - Tokenizers 0.15.2

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "lasion/wav2vec2-base-timit-demo-google-colab",
+  "_name_or_path": "facebook/wav2vec2-base",
   "activation_dropout": 0.0,
   "adapter_attn_dim": null,
   "adapter_kernel_size": 3,
@@ -111,7 +111,7 @@
     1
   ],
   "torch_dtype": "float32",
-  "transformers_version": "4.39.2",
+  "transformers_version": "4.38.2",
   "use_weighted_layer_sum": false,
   "vocab_size": 32,
   "xvector_output_dim": 512

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:47cc39eb1e68d64c87b876f5522d9c06d54f396355f0fb6ac81ba644a2758bda
+oid sha256:3398016c9678713fa6ab60f801bfd5ce6bcb7258ed3858651ea739b6937dd4f9
 size 377611120

runs/Apr02_09-05-54_b1a7da762c46/events.out.tfevents.1712048865.b1a7da762c46.25.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e844b6ec9bde84469770d4dbf46b62f8012d72db3aa50c268b733f8d4a88ca5a
+size 16733

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bd52b52b5640c3ccd1e37582eec25c7b4f22add78018650cbf8243781dd414cc
+oid sha256:5642dbfd69a7f84e3646d86738d742370286f9da7336d58d085df4e596c5128f
 size 4920