End of training

README.md

@@ -5,10 +5,25 @@ base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 datasets:
-- common_voice_17_0
+- mozilla-foundation/common_voice_17_0
+metrics:
+- wer
 model-index:
 - name: whisper-small-tr
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: mozilla-foundation/common_voice_17_0 tr
+      type: mozilla-foundation/common_voice_17_0
+      config: tr
+      split: None
+      args: tr
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.4724458204334365
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,7 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-small-tr
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_17_0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_17_0 tr dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2027
+- Wer: 0.4724
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 0.0851063829787234,
+    "eval_loss": 1.2027205228805542,
+    "eval_runtime": 637.9747,
+    "eval_samples": 2822,
+    "eval_samples_per_second": 4.423,
+    "eval_steps_per_second": 0.37,
+    "eval_wer": 0.4724458204334365,
+    "total_flos": 6.92604960768e+16,
+    "train_loss": 1.3005441665649413,
+    "train_runtime": 90.6911,
+    "train_samples": 2814,
+    "train_samples_per_second": 2.646,
+    "train_steps_per_second": 0.11
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.0851063829787234,
+    "eval_loss": 1.2027205228805542,
+    "eval_runtime": 637.9747,
+    "eval_samples": 2822,
+    "eval_samples_per_second": 4.423,
+    "eval_steps_per_second": 0.37,
+    "eval_wer": 0.4724458204334365
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.0851063829787234,
+    "total_flos": 6.92604960768e+16,
+    "train_loss": 1.3005441665649413,
+    "train_runtime": 90.6911,
+    "train_samples": 2814,
+    "train_samples_per_second": 2.646,
+    "train_steps_per_second": 0.11
+}

trainer_state.json

@@ -0,0 +1,42 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.0851063829787234,
+  "eval_steps": 1000,
+  "global_step": 10,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.0851063829787234,
+      "step": 10,
+      "total_flos": 6.92604960768e+16,
+      "train_loss": 1.3005441665649413,
+      "train_runtime": 90.6911,
+      "train_samples_per_second": 2.646,
+      "train_steps_per_second": 0.11
+    }
+  ],
+  "logging_steps": 25,
+  "max_steps": 10,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 1000,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 6.92604960768e+16,
+  "train_batch_size": 12,
+  "trial_name": null,
+  "trial_params": null
+}