End of training

README.md

@@ -14,18 +14,18 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ast_classifier
 
-This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on an unknown dataset.
+This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the None dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.0801
-- eval_accuracy: 0.9804
-- eval_precision: 0.9534
-- eval_recall: 0.9901
-- eval_f1: 0.9714
-- eval_runtime: 469.4074
-- eval_samples_per_second: 7.054
-- eval_steps_per_second: 0.882
-- epoch: 1.0
-- step: 1656
+- eval_loss: 1.7174
+- eval_accuracy: 0.7822
+- eval_precision: 0.9937
+- eval_recall: 0.5860
+- eval_f1: 0.7373
+- eval_runtime: 124.9206
+- eval_samples_per_second: 12.312
+- eval_steps_per_second: 1.545
+- epoch: 4.0
+- step: 344
 
 ## Model description
 
@@ -45,7 +45,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 8
+- train_batch_size: 64
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
@@ -54,7 +54,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.57.1
+- Transformers 4.57.2
 - Pytorch 2.9.0+cu126
-- Datasets 3.6.0
+- Datasets 4.0.0
 - Tokenizers 0.22.1

config.json

@@ -9,14 +9,14 @@
   "hidden_dropout_prob": 0.0,
   "hidden_size": 768,
   "id2label": {
-    "0": "healthy",
-    "1": "dysarthria"
+    "0": "dysarthria",
+    "1": "healthy"
   },
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "dysarthria": "1",
-    "healthy": "0"
+    "dysarthria": "0",
+    "healthy": "1"
   },
   "layer_norm_eps": 1e-12,
   "max_length": 1024,
@@ -28,5 +28,5 @@
   "problem_type": "single_label_classification",
   "qkv_bias": true,
   "time_stride": 10,
-  "transformers_version": "4.57.1"
+  "transformers_version": "4.57.2"
 }

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:fcd42c193b26796b87a40f21c7e3aac7ea3e5399f9141506793fba5b764a494a
 size 344790040

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:af7d31cc3d6652b979acd9abb70a0d5b86f4ec127ed607e6af910cdcb2c1e1fe
 size 5841