update model card README.md

README.md

@@ -15,8 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the librispeech_asr dataset.
 It achieves the following results on the evaluation set:
-- Loss: 4.2599
-- Wer: 1.0191
+- Loss: 0.3524
+- Wer: 0.1042
 
 ## Model description
 
@@ -35,12 +35,15 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 0.0003
 - train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
 - gradient_accumulation_steps: 16
-- total_train_batch_size: 128
+- total_train_batch_size: 256
+- total_eval_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
@@ -51,10 +54,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 4.9509        | 2.24  | 500  | 4.6362          | 1.0192 |
-| 4.4811        | 4.48  | 1000 | 4.4714          | 0.9457 |
-| 3.8931        | 6.73  | 1500 | 4.2505          | 0.9688 |
-| 3.3698        | 8.97  | 2000 | 4.2599          | 1.0191 |
+| 2.7605        | 4.5   | 500  | 2.6299          | 1.4451 |
+| 0.1177        | 9.01  | 1000 | 0.3524          | 0.1042 |
 
 
 ### Framework versions

wandb/run-20220328_170142-by95ehra/files/output.log

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 [INFO|trainer.py:2114] 2022-03-29 00:13:12,718 >> Saving model checkpoint to ./=)compatible with gradient checkpointing. Setting `use_cache=False`...e computed-29 00:09:25,483 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
 [INFO|trainer.py:2114] 2022-03-29 00:13:24,702 >> Saving model checkpoint to ./=)compatible with gradient checkpointing. Setting `use_cache=False`...e computed-29 00:09:25,483 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
 [INFO|trainer.py:2114] 2022-03-29 00:13:24,702 >> Saving model checkpoint to ./=)compatible with gradient checkpointing. Setting `use_cache=False`...e computed-29 00:09:25,483 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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+03/29/2022 00:16:52 - WARNING - huggingface_hub.repository - To https://huggingface.co/sanchit-gandhi/wav2vec2-2-bart-large-cnn
+   c0186b8..967ac64  main -> main

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