End of training

README.md

@@ -2,15 +2,30 @@
 language:
 - ka
 license: apache-2.0
+base_model: openai/whisper-tiny
 tags:
 - whisper
 - generated_from_trainer
 datasets:
 - mozilla-foundation/common_voice_16_1
-base_model: openai/whisper-tiny
+metrics:
+- wer
 model-index:
 - name: Whisper Tiny Ka
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice
+      type: mozilla-foundation/common_voice_16_1
+      config: ka
+      split: test
+      args: ka
+    metrics:
+    - name: Wer
+      type: wer
+      value: 100.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,6 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
 # Whisper Tiny Ka
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.6994
+- Wer: 100.0
 
 ## Model description
 
@@ -46,11 +64,14 @@ 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
-- training_steps: 50
+- training_steps: 30
 - mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Wer   |
+|:-------------:|:-----:|:----:|:---------------:|:-----:|
+| 8.8508        | 15.38 | 25   | 7.6994          | 100.0 |
 
 
 ### Framework versions

generation_config.json

@@ -144,6 +144,7 @@
     "<|yo|>": 50325,
     "<|zh|>": 50260
   },
+  "language": "georgian",
   "max_initial_timestamp_index": 50,
   "max_length": 448,
   "no_timestamps_token_id": 50363,

model.safetensors

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training_args.bin

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