End of training

README.md

@@ -3,27 +3,38 @@ library_name: transformers
 language:
 - id
 license: apache-2.0
-base_model: openai/whisper-small
+base_model: kneth90/whisper-small-id-kp
 tags:
 - generated_from_trainer
 datasets:
-- kneth90/temp_snamol
+- kneth90/snamol_temp
 metrics:
 - wer
 model-index:
-- name: Whisper SMALL Snamol
-  results: []
+- name: WHISPER Small KP
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: kneth90/snamol_temp
+      args: 'config: hi, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 814.2857142857142
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# Whisper SMALL Snamol
+# WHISPER Small KP
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+This model is a fine-tuned version of [kneth90/whisper-small-id-kp](https://huggingface.co/kneth90/whisper-small-id-kp) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3514
-- Wer: 50.0
+- Loss: 1.4420
+- Wer: 814.2857
 
 ## Model description
 
@@ -43,29 +54,30 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 32
+- train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 5000
+- training_steps: 6000
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0           | 1000.0 | 1000 | 0.9725          | 35.7143 |
-| 0.0           | 2000.0 | 2000 | 1.1105          | 42.8571 |
-| 0.0           | 3000.0 | 3000 | 1.2208          | 42.8571 |
-| 0.0           | 4000.0 | 4000 | 1.3330          | 50.0    |
-| 0.0           | 5000.0 | 5000 | 1.3514          | 50.0    |
+| Training Loss | Epoch  | Step | Validation Loss | Wer      |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.0           | 1000.0 | 1000 | 0.5975          | 7.1429   |
+| 0.0           | 2000.0 | 2000 | 0.8193          | 14.2857  |
+| 0.0           | 3000.0 | 3000 | 1.0415          | 50.0     |
+| 0.0           | 4000.0 | 4000 | 1.3226          | 50.0     |
+| 0.0           | 5000.0 | 5000 | 1.3835          | 42.8571  |
+| 0.0           | 6000.0 | 6000 | 1.4420          | 814.2857 |
 
 
 ### Framework versions
 
-- Transformers 4.47.1
-- Pytorch 2.5.1+cu121
+- Transformers 4.48.1
+- Pytorch 2.5.1+cu124
 - Datasets 3.2.0
 - Tokenizers 0.21.0

generation_config.json

@@ -250,5 +250,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.47.1"
+  "transformers_version": "4.48.1"
 }

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:c52b0a41d1a29247605de913d6617ffe1d2838c47b2d148efb0f8371d45797bf
 size 966995080

runs/Jan30_17-00-35_msi/events.out.tfevents.1738231239.msi.4947.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f8cbde0819313090d0100fff8bae5d130a0fe78153e549cd101c537534795afb
-size 50588
+oid sha256:ab55d8f9b0270ae1a48c68f1682c5281400cc9748d47cddb72d259302695cd1e
+size 59700