End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 34.69072164948454
+      value: 34.454756380510446
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the PolyAI/minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6369
-- Wer Ortho: 35.1642
-- Wer: 34.6907
+- Loss: 0.8668
+- Wer Ortho: 34.2615
+- Wer: 34.4548
 
 ## Model description
 
@@ -60,18 +60,26 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
-- training_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
-| 0.0007        | 17.86 | 500  | 0.6369          | 35.1642   | 34.6907 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:---------:|:-------:|
+| 0.0012        | 17.86  | 500  | 0.6821          | 33.2324   | 33.6427 |
+| 0.0002        | 35.71  | 1000 | 0.7362          | 34.0194   | 34.0487 |
+| 0.0001        | 53.57  | 1500 | 0.7689          | 33.9588   | 33.9907 |
+| 0.0001        | 71.43  | 2000 | 0.7934          | 34.5036   | 34.4548 |
+| 0.0           | 89.29  | 2500 | 0.8168          | 34.4431   | 34.3968 |
+| 0.0           | 107.14 | 3000 | 0.8352          | 34.5642   | 34.5708 |
+| 0.0           | 125.0  | 3500 | 0.8514          | 34.3220   | 34.5128 |
+| 0.0           | 142.86 | 4000 | 0.8668          | 34.2615   | 34.4548 |
 
 
 ### Framework versions
 
-- Transformers 4.32.0
-- Pytorch 2.0.1+cu118
-- Datasets 2.14.4
-- Tokenizers 0.13.3
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

@@ -249,5 +249,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.32.0"
+  "transformers_version": "4.35.2"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1fb987e3862018e70a20a67a7007daff3d69f756fdef42d5b98e2181632fad45
+oid sha256:03fdf32d6844a6e502a71f1870eeabdcb2cee1cf99b7c53ae49c639db2cdd6c9
 size 151061672