End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.035398230088495575
+      value: 0.10619469026548672
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.6470
-- Accuracy: 0.0354
+- Loss: 2.6476
+- Accuracy: 0.1062
 
 ## Model description
 
@@ -55,7 +55,7 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
 - train_batch_size: 16
-- eval_batch_size: 32
+- eval_batch_size: 16
 - seed: 42
 - gradient_accumulation_steps: 8
 - total_train_batch_size: 128
@@ -68,16 +68,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.8276 | 3    | 2.6393          | 0.0531   |
-| No log        | 1.8276 | 6    | 2.6411          | 0.0708   |
-| No log        | 2.8276 | 9    | 2.6410          | 0.0354   |
-| 2.8361        | 3.8276 | 12   | 2.6412          | 0.0442   |
-| 2.8361        | 4.8276 | 15   | 2.6425          | 0.0354   |
-| 2.8361        | 5.8276 | 18   | 2.6438          | 0.0442   |
-| 2.8279        | 6.8276 | 21   | 2.6455          | 0.0442   |
-| 2.8279        | 7.8276 | 24   | 2.6465          | 0.0354   |
-| 2.8279        | 8.8276 | 27   | 2.6469          | 0.0354   |
-| 2.8245        | 9.8276 | 30   | 2.6470          | 0.0354   |
+| No log        | 0.8276 | 3    | 2.6387          | 0.0531   |
+| No log        | 1.8276 | 6    | 2.6428          | 0.0265   |
+| No log        | 2.8276 | 9    | 2.6448          | 0.0619   |
+| 2.837         | 3.8276 | 12   | 2.6436          | 0.0531   |
+| 2.837         | 4.8276 | 15   | 2.6464          | 0.0619   |
+| 2.837         | 5.8276 | 18   | 2.6462          | 0.0885   |
+| 2.8278        | 6.8276 | 21   | 2.6466          | 0.0973   |
+| 2.8278        | 7.8276 | 24   | 2.6465          | 0.1062   |
+| 2.8278        | 8.8276 | 27   | 2.6471          | 0.1062   |
+| 2.8242        | 9.8276 | 30   | 2.6476          | 0.1062   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3f457dca0d43f1a65a16396e411ba48db5ac18fae99b713647de5a6aba522739
+oid sha256:a3a8d2eebaa5d67dff3075849f0b3f9eeb76411d63b4b93bf4cf2743ae210ef9
 size 378314704

runs/Feb24_05-27-14_364b995b1370/events.out.tfevents.1740374843.364b995b1370.471.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b634c60ed97a52cda9d8dae31d72aba746808800810aa2e4dda06c98ae3ab573
-size 11278
+oid sha256:ea7b9416f97046fe731837a591eb2190f24b00fbbe13c1505a7303d65d179de8
+size 11626