Model save

README.md

@@ -1,5 +1,6 @@
 ---
-base_model: Bisher/wav2vec2_ASV_deepfake_audio_detection_DF_finetune_modified_test_1
+license: apache-2.0
+base_model: Bisher/wav2vec2_ASV_deepfake_audio_detection
 tags:
 - generated_from_trainer
 model-index:
@@ -12,23 +13,23 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2_ASV_deepfake_audio_detection_DF_finetune_modified_test_new
 
-This model is a fine-tuned version of [Bisher/wav2vec2_ASV_deepfake_audio_detection_DF_finetune_modified_test_1](https://huggingface.co/Bisher/wav2vec2_ASV_deepfake_audio_detection_DF_finetune_modified_test_1) on an unknown dataset.
+This model is a fine-tuned version of [Bisher/wav2vec2_ASV_deepfake_audio_detection](https://huggingface.co/Bisher/wav2vec2_ASV_deepfake_audio_detection) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.6397
-- eval_accuracy: 0.89
-- eval_precision: 0.7921
-- eval_recall: 0.89
-- eval_f1: 0.8382
-- eval_TP: 0
+- eval_loss: 0.6134
+- eval_accuracy: 0.905
+- eval_precision: 0.9142
+- eval_recall: 0.905
+- eval_f1: 0.8713
+- eval_TP: 3
 - eval_TN: 178
-- eval_FN: 22
+- eval_FN: 19
 - eval_FP: 0
-- eval_EER: 0.2727
-- eval_min_tDCF: 0.0243
-- eval_auc_roc: 0.7574
-- eval_runtime: 67.9885
-- eval_samples_per_second: 2.942
-- eval_steps_per_second: 2.942
+- eval_EER: 0.2273
+- eval_min_tDCF: 0.0326
+- eval_auc_roc: 0.7814
+- eval_runtime: 65.9291
+- eval_samples_per_second: 3.034
+- eval_steps_per_second: 3.034
 - epoch: 0.08
 - step: 2
 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "Bisher/wav2vec2_ASV_deepfake_audio_detection_DF_finetune_modified_test_1",
+  "_name_or_path": "Bisher/wav2vec2_ASV_deepfake_audio_detection",
   "activation_dropout": 0.0,
   "adapter_attn_dim": null,
   "adapter_kernel_size": 3,
@@ -11,8 +11,7 @@
   ],
   "attention_dropout": 0.1,
   "bos_token_id": 1,
-  "classifier_dropout": 0.1,
-  "classifier_proj_size": 768,
+  "classifier_proj_size": 256,
   "codevector_dim": 256,
   "contrastive_logits_temperature": 0.1,
   "conv_bias": false,

model.safetensors

@@ -1,3 +1,3 @@
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-size 382243944
+oid sha256:dd02a284d3098292452909433d16d389fcae215d268f4dafe094d6493fdfb9e9
+size 378433104

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:527452bb8b15cdb8b923d09f8447fbff4e8f35afa04609ff1e775d0dd9f45bb8
 size 5368