End of training

README.md

@@ -1,10 +1,10 @@
 ---
-base_model: facebook/wav2vec2-base-960h
 license: apache-2.0
-metrics:
-- accuracy
+base_model: facebook/wav2vec2-base-960h
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: wav2vec2-base-960h-EMOPIA
   results: []
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1431
-- Accuracy: 0.4366
+- Loss: 1.2864
+- Accuracy: 0.3521
 
 ## Model description
 
@@ -52,7 +52,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.273         | 1.0   | 269  | 1.1431          | 0.4366   |
+| 1.3126        | 1.0   | 269  | 1.2864          | 0.3521   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:33cfebdf03776b72c3e98ad411a0d6f2d8450b779632f6e06f451088d96cce91
+oid sha256:1eaee330b77b699860433368e889dda3c9f2ed37e8c9272ee00ea6d6024ed34d
 size 379887584

runs/Jul23_08-13-00_default/events.out.tfevents.1721722679.default.122.0

@@ -0,0 +1,3 @@
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+size 7424

trainer_state.json

@@ -10,28 +10,28 @@
   "log_history": [
     {
       "epoch": 1.0,
-      "grad_norm": 5.739052772521973,
+      "grad_norm": 5.29514217376709,
       "learning_rate": 0.0,
-      "loss": 1.273,
+      "loss": 1.3126,
       "step": 269
     },
     {
       "epoch": 1.0,
-      "eval_accuracy": 0.43661972880363464,
-      "eval_loss": 1.143059492111206,
-      "eval_runtime": 33.4717,
-      "eval_samples_per_second": 2.121,
-      "eval_steps_per_second": 2.121,
+      "eval_accuracy": 0.35211268067359924,
+      "eval_loss": 1.2864422798156738,
+      "eval_runtime": 34.6484,
+      "eval_samples_per_second": 2.049,
+      "eval_steps_per_second": 2.049,
       "step": 269
     },
     {
       "epoch": 1.0,
       "step": 269,
       "total_flos": 4.7515206146112e+17,
-      "train_loss": 1.2729643073666939,
-      "train_runtime": 622.0723,
-      "train_samples_per_second": 1.297,
-      "train_steps_per_second": 0.432
+      "train_loss": 1.312601536180007,
+      "train_runtime": 638.8749,
+      "train_samples_per_second": 1.263,
+      "train_steps_per_second": 0.421
     }
   ],
   "logging_steps": 8,

training_args.bin

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 size 5112