update model card README.md

README.md

@@ -5,6 +5,8 @@ tags:
 - generated_from_trainer
 datasets:
 - mir_st500
+metrics:
+- accuracy
 model-index:
 - name: wav2vec2-base-mirst500
   results: []
@@ -16,6 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 # wav2vec2-base-mirst500
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the /workspace/datasets/datasets/MIR_ST500/MIR_ST500_AUDIO_CLASSIFICATION.py dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1219
+- Accuracy: 0.5817
 
 ## Model description
 
@@ -36,16 +41,26 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 3e-05
 - train_batch_size: 16
-- eval_batch_size: 16
+- eval_batch_size: 1
 - seed: 0
+- distributed_type: multi-GPU
+- num_devices: 2
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 64
+- total_train_batch_size: 128
+- total_eval_batch_size: 2
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 10.0
+- num_epochs: 1.0
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.1779        | 1.0   | 1304 | 1.1219          | 0.5817   |
+
+
 ### Framework versions
 
 - Transformers 4.15.0