End of training

README.md

@@ -8,9 +8,22 @@ tags:
 - generated_from_trainer
 datasets:
 - AT
+metrics:
+- wer
 model-index:
 - name: Whisper medium AT
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: AT
+      type: AT
+      args: 'config: aeb, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 65.98418372874012
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -20,13 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the AT dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 1.3971
-- eval_wer: 77.0447
-- eval_runtime: 560.1849
-- eval_samples_per_second: 2.085
-- eval_steps_per_second: 0.13
-- epoch: 1.0
-- step: 293
+- Loss: 0.9915
+- Wer: 65.9842
 
 ## Model description
 
@@ -52,9 +60,19 @@ 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: 500
-- training_steps: 4000
+- num_epochs: 4
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| No log        | 1.0   | 293  | 1.3198          | 74.6073 |
+| 1.7949        | 2.0   | 586  | 1.0108          | 70.6316 |
+| 1.7949        | 3.0   | 879  | 0.9583          | 65.9517 |
+| 0.5076        | 4.0   | 1172 | 0.9915          | 65.9842 |
+
+
 ### Framework versions
 
 - Transformers 4.45.1

generation_config.json

@@ -134,6 +134,7 @@
     "<|yo|>": 50325,
     "<|zh|>": 50260
   },
+  "language": "arabic",
   "max_initial_timestamp_index": 50,
   "max_length": 448,
   "no_timestamps_token_id": 50363,

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:a90dbeef71405f1a24839c0a1052fbf131f598cab5cbd7b38d600f06f888af6a
 size 3055544304