End of training

README.md

@@ -4,11 +4,24 @@ license: apache-2.0
 base_model: openai/whisper-base
 tags:
 - generated_from_trainer
+datasets:
+- razhan/DOLMA-speech
 metrics:
 - wer
 model-index:
 - name: whisper-base-zza
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: razhan/DOLMA-speech zazaki
+      type: razhan/DOLMA-speech
+      args: zazaki
+    metrics:
+    - name: Wer
+      type: wer
+      value: 1.2574447646493756
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,7 +29,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-base-zza
 
-This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the razhan/DOLMA-speech zazaki dataset.
 It achieves the following results on the evaluation set:
 - Loss: 4.0956
 - Wer: 1.2574

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 5.0,
+    "eval_cer": 1.0132317562149158,
+    "eval_loss": 4.095639228820801,
+    "eval_runtime": 18.0801,
+    "eval_samples": 50,
+    "eval_samples_per_second": 2.765,
+    "eval_steps_per_second": 0.055,
+    "eval_wer": 1.2574447646493756,
+    "total_flos": 1.2453119162056704e+17,
+    "train_loss": 4.744624328613281,
+    "train_runtime": 205.8732,
+    "train_samples": 201,
+    "train_samples_per_second": 4.882,
+    "train_steps_per_second": 0.024
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 5.0,
+    "eval_cer": 1.0132317562149158,
+    "eval_loss": 4.095639228820801,
+    "eval_runtime": 18.0801,
+    "eval_samples": 50,
+    "eval_samples_per_second": 2.765,
+    "eval_steps_per_second": 0.055,
+    "eval_wer": 1.2574447646493756
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 5.0,
+    "total_flos": 1.2453119162056704e+17,
+    "train_loss": 4.744624328613281,
+    "train_runtime": 205.8732,
+    "train_samples": 201,
+    "train_samples_per_second": 4.882,
+    "train_steps_per_second": 0.024
+}

trainer_state.json

@@ -0,0 +1,92 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 5.0,
+  "eval_steps": 500,
+  "global_step": 5,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "eval_cer": 1.014635124298316,
+      "eval_loss": 4.783146858215332,
+      "eval_runtime": 18.4638,
+      "eval_samples_per_second": 2.708,
+      "eval_steps_per_second": 0.054,
+      "eval_wer": 1.2622478386167146,
+      "step": 1
+    },
+    {
+      "epoch": 2.0,
+      "eval_cer": 1.014635124298316,
+      "eval_loss": 4.783146858215332,
+      "eval_runtime": 18.2084,
+      "eval_samples_per_second": 2.746,
+      "eval_steps_per_second": 0.055,
+      "eval_wer": 1.2622478386167146,
+      "step": 2
+    },
+    {
+      "epoch": 3.0,
+      "eval_cer": 1.014635124298316,
+      "eval_loss": 4.783146858215332,
+      "eval_runtime": 17.8831,
+      "eval_samples_per_second": 2.796,
+      "eval_steps_per_second": 0.056,
+      "eval_wer": 1.2622478386167146,
+      "step": 3
+    },
+    {
+      "epoch": 4.0,
+      "eval_cer": 1.014635124298316,
+      "eval_loss": 4.783146858215332,
+      "eval_runtime": 18.0669,
+      "eval_samples_per_second": 2.767,
+      "eval_steps_per_second": 0.055,
+      "eval_wer": 1.2622478386167146,
+      "step": 4
+    },
+    {
+      "epoch": 5.0,
+      "eval_cer": 1.0132317562149158,
+      "eval_loss": 4.095639228820801,
+      "eval_runtime": 17.4499,
+      "eval_samples_per_second": 2.865,
+      "eval_steps_per_second": 0.057,
+      "eval_wer": 1.2574447646493756,
+      "step": 5
+    },
+    {
+      "epoch": 5.0,
+      "step": 5,
+      "total_flos": 1.2453119162056704e+17,
+      "train_loss": 4.744624328613281,
+      "train_runtime": 205.8732,
+      "train_samples_per_second": 4.882,
+      "train_steps_per_second": 0.024
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 5,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 5,
+  "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": 1.2453119162056704e+17,
+  "train_batch_size": 192,
+  "trial_name": null,
+  "trial_params": null
+}