Model save

README.md

@@ -1,38 +1,39 @@
 ---
 license: apache-2.0
+base_model: openai/whisper-small
 tags:
-- whisper-event
 - generated_from_trainer
 datasets:
-- google/fleurs
+- fleurs
 metrics:
 - wer
 model-index:
-- name: Whisper_small_Shona
+- name: whisper-small-shona
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: google/fleurs 
-      type: google/fleurs
+      name: fleurs
+      type: fleurs
       config: sn_zw
       split: test
+      args: sn_zw
     metrics:
     - name: Wer
       type: wer
-      value: 50.85625
+      value: 45.94375
 ---
 
 <!-- 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_Shona
+# whisper-small-shona
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the google/fleurs sn_zw dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the fleurs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1174
-- Wer: 50.8563
+- Loss: 0.9720
+- Wer: 45.9438
 
 ## Model description
 
@@ -56,10 +57,8 @@ The following hyperparameters were used during training:
 - eval_batch_size: 16
 - seed: 42
 - distributed_type: multi-GPU
-- num_devices: 4
 - gradient_accumulation_steps: 2
-- total_train_batch_size: 64
-- total_eval_batch_size: 64
+- total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
@@ -68,18 +67,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer     |
-|:-------------:|:------:|:----:|:---------------:|:-------:|
-| 0.0054        | 33.32  | 400  | 0.9826          | 51.6687 |
-| 0.0009        | 66.64  | 800  | 1.0774          | 50.9062 |
-| 0.0005        | 99.96  | 1200 | 1.1174          | 50.8563 |
-| 0.0003        | 133.32 | 1600 | 1.1388          | 50.875  |
-| 0.0003        | 166.64 | 2000 | 1.1461          | 50.925  |
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.09          | 8.16  | 400  | 0.8572          | 50.6875 |
+| 0.0019        | 16.33 | 800  | 0.9069          | 46.4438 |
+| 0.0008        | 24.49 | 1200 | 0.9473          | 46.0438 |
+| 0.0006        | 32.65 | 1600 | 0.9653          | 45.9    |
+| 0.0005        | 40.82 | 2000 | 0.9720          | 45.9438 |
 
 
 ### Framework versions
 
-- Transformers 4.25.1
-- Pytorch 1.13.0+cu117
-- Datasets 2.7.1
-- Tokenizers 0.13.2
+- Transformers 4.37.1
+- Pytorch 1.12.0+cu102
+- Datasets 2.16.1
+- Tokenizers 0.15.1

generation_config.json

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+{
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+      3
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+    [
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+      9
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+      7
+    ],
+    [
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+      9
+    ],
+    [
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+      5
+    ]
+  ],
+  "begin_suppress_tokens": [
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+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
+    [
+      1,
+      null
+    ],
+    [
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+    ]
+  ],
+  "is_multilingual": true,
+  "lang_to_id": {
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+}

model.safetensors

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