End of training

README.md

@@ -1,23 +1,31 @@
 ---
 language:
-- hi
+- en
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_11_0
+- mShiry/ATC_combined
 model-index:
-- name: Whisper Small Hi - Sanchit Gandhi
+- name: Whisper Small ATC - ATCText
   results: []
 ---
 
 <!-- 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 Hi - Sanchit Gandhi
+# Whisper Small ATC - ATCText
 
-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 [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ATC dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.9991
+- eval_wer: 76.1224
+- eval_runtime: 2033.5597
+- eval_samples_per_second: 2.323
+- eval_steps_per_second: 0.066
+- epoch: 0.0
+- step: 1
 
 ## Model description
 
@@ -36,20 +44,16 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
+- learning_rate: 0.1
 - train_batch_size: 32
-- eval_batch_size: 8
+- eval_batch_size: 35
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 5
-- training_steps: 30
+- lr_scheduler_warmup_steps: 500
+- training_steps: 2
 - mixed_precision_training: Native AMP
 
-### Training results
-
-
-
 ### Framework versions
 
 - Transformers 4.39.3

generation_config.json

@@ -150,7 +150,7 @@
     "<|yo|>": 50325,
     "<|zh|>": 50260
   },
-  "language": "hindi",
+  "language": "english",
   "max_initial_timestamp_index": 50,
   "max_length": 448,
   "no_timestamps_token_id": 50363,