End of training

README.md

@@ -3,6 +3,7 @@ library_name: transformers
 license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
+- audio-classification
 - generated_from_trainer
 metrics:
 - accuracy
@@ -16,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper_tiny_fleurs
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the /home/investigacion/disco4TB/workspace_pablo/firvox_whisper_research/finetunnig/dataset/dataset_parquet/dataset_1000x6_noFirVox_correctedpaths.parquet dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.9658
 - Accuracy: 0.7744

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.7744444444444445,
+    "eval_loss": 0.9658203125,
+    "eval_runtime": 31.5059,
+    "eval_samples_per_second": 28.566,
+    "eval_steps_per_second": 0.476,
+    "total_flos": 5.701007303717683e+16,
+    "train_loss": 1.3089996337890626,
+    "train_runtime": 250.7779,
+    "train_samples_per_second": 20.337,
+    "train_steps_per_second": 0.319
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "eval_accuracy": 0.7744444444444445,
+    "eval_loss": 0.9658203125,
+    "eval_runtime": 31.5059,
+    "eval_samples_per_second": 28.566,
+    "eval_steps_per_second": 0.476
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.0,
+    "total_flos": 5.701007303717683e+16,
+    "train_loss": 1.3089996337890626,
+    "train_runtime": 250.7779,
+    "train_samples_per_second": 20.337,
+    "train_steps_per_second": 0.319
+}

trainer_state.json

@@ -0,0 +1,72 @@
+{
+  "best_metric": 0.7744444444444445,
+  "best_model_checkpoint": "/home/investigacion/disco4TB/workspace_pablo/finetuning_whisper_workbench/lang_detection_inference_tests/models/whisper_tiny_fleurs/checkpoint-80",
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 80,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.3125,
+      "grad_norm": 3.242062568664551,
+      "learning_rate": 2.3333333333333336e-05,
+      "loss": 1.6888,
+      "step": 25
+    },
+    {
+      "epoch": 0.625,
+      "grad_norm": 11.466547012329102,
+      "learning_rate": 1.2916666666666668e-05,
+      "loss": 1.2639,
+      "step": 50
+    },
+    {
+      "epoch": 0.9375,
+      "grad_norm": 15.550214767456055,
+      "learning_rate": 2.916666666666667e-06,
+      "loss": 1.0287,
+      "step": 75
+    },
+    {
+      "epoch": 1.0,
+      "eval_accuracy": 0.7744444444444445,
+      "eval_loss": 0.9658203125,
+      "eval_runtime": 48.9568,
+      "eval_samples_per_second": 18.384,
+      "eval_steps_per_second": 0.306,
+      "step": 80
+    },
+    {
+      "epoch": 1.0,
+      "step": 80,
+      "total_flos": 5.701007303717683e+16,
+      "train_loss": 1.3089996337890626,
+      "train_runtime": 250.7779,
+      "train_samples_per_second": 20.337,
+      "train_steps_per_second": 0.319
+    }
+  ],
+  "logging_steps": 25,
+  "max_steps": 80,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 5.701007303717683e+16,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}