End of training

README.md

@@ -17,12 +17,12 @@ model-index:
       name: google/fleurs
       type: google/fleurs
       config: hi_in
-      split: train
+      split: train+test
       args: hi_in
     metrics:
     - name: Wer
       type: wer
-      value: 0.8889948502765592
+      value: 0.42621638924455824
 ---
 
 <!-- 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 google/fleurs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8973
-- Wer Ortho: 0.8687
-- Wer: 0.8890
+- Loss: 0.8315
+- Wer Ortho: 0.4313
+- Wer: 0.4262
 
 ## Model description
 
@@ -54,8 +54,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
@@ -67,11 +67,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
-| 1.9951        | 0.83  | 100  | 1.8632          | 1.1021    | 1.1432 |
-| 1.2634        | 1.67  | 200  | 1.2561          | 1.0496    | 1.1282 |
-| 0.8868        | 2.5   | 300  | 1.0672          | 0.8591    | 0.8911 |
-| 0.6568        | 3.33  | 400  | 0.9656          | 0.9689    | 1.0460 |
-| 0.5288        | 4.17  | 500  | 0.8973          | 0.8687    | 0.8890 |
+| 1.8112        | 1.39  | 100  | 1.7274          | 0.6323    | 0.6258 |
+| 1.0387        | 2.78  | 200  | 1.1194          | 0.5130    | 0.5072 |
+| 0.7671        | 4.17  | 300  | 0.9671          | 0.4665    | 0.4613 |
+| 0.5283        | 5.56  | 400  | 0.8840          | 0.4494    | 0.4440 |
+| 0.4458        | 6.94  | 500  | 0.8315          | 0.4313    | 0.4262 |
 
 
 ### Framework versions

generation_config.json

@@ -35,7 +35,7 @@
   "forced_decoder_ids": [
     [
       1,
-      50259
+      50276
     ],
     [
       2,
@@ -148,7 +148,7 @@
     "<|yo|>": 50325,
     "<|zh|>": 50260
   },
-  "language": "english",
+  "language": "hindi",
   "max_initial_timestamp_index": 1,
   "max_length": 448,
   "no_timestamps_token_id": 50363,