End of training

README.md

@@ -1,6 +1,7 @@
 ---
 base_model: anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test
 tags:
+- audio-classification
 - generated_from_trainer
 datasets:
 - superb
@@ -31,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test](https://huggingface.co/anderloh/Hugginhface-master-wav2vec-pretreined-5-class-train-test) on the superb dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5151
+- Loss: 1.9986
 - Accuracy: 0.6209
 
 ## Model description

all_results.json

@@ -0,0 +1,12 @@
+{
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+    "eval_accuracy": 0.6209179170344219,
+    "eval_loss": 1.998612642288208,
+    "eval_runtime": 43.7479,
+    "eval_samples_per_second": 155.39,
+    "eval_steps_per_second": 1.234,
+    "train_loss": 1.6779014282226563,
+    "train_runtime": 1903.2555,
+    "train_samples_per_second": 134.228,
+    "train_steps_per_second": 0.263
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 5.0,
+    "eval_accuracy": 0.6209179170344219,
+    "eval_loss": 1.998612642288208,
+    "eval_runtime": 43.7479,
+    "eval_samples_per_second": 155.39,
+    "eval_steps_per_second": 1.234
+}

runs/Jun21_13-24-58_ml6.hpc.uio.no/events.out.tfevents.1718971076.ml6.hpc.uio.no.53953.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:91e3af497dcc22afbfe8407d2664f976e3800ccecb7a1c66e9ed531f080c2bca
+size 411

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 5.0,
+    "train_loss": 1.6779014282226563,
+    "train_runtime": 1903.2555,
+    "train_samples_per_second": 134.228,
+    "train_steps_per_second": 0.263
+}

trainer_state.json

@@ -0,0 +1,110 @@
+{
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+  "best_model_checkpoint": "wav2vec2-5Class-train-test-finetune-V4/checkpoint-100",
+  "epoch": 5.0,
+  "eval_steps": 500,
+  "global_step": 500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "step": 100
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+      "learning_rate": 1.9999999999999998e-05,
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+  "logging_steps": 100,
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+}