End of training

README.md

@@ -4,11 +4,24 @@ license: apache-2.0
 base_model: razhan/whisper-base-hawrami
 tags:
 - generated_from_trainer
+datasets:
+- razhan/DOLMA-speech
 metrics:
 - wer
 model-index:
 - name: whisper-base-hawrami-transcription
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: razhan/DOLMA-speech hawrami
+      type: razhan/DOLMA-speech
+      args: hawrami
+    metrics:
+    - name: Wer
+      type: wer
+      value: 2.3790849673202614
 ---
 
 <!-- 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-hawrami-transcription
 
-This model is a fine-tuned version of [razhan/whisper-base-hawrami](https://huggingface.co/razhan/whisper-base-hawrami) on an unknown dataset.
+This model is a fine-tuned version of [razhan/whisper-base-hawrami](https://huggingface.co/razhan/whisper-base-hawrami) on the razhan/DOLMA-speech hawrami dataset.
 It achieves the following results on the evaluation set:
 - Loss: 3.5885
 - Wer: 2.3791

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 4.0,
+    "eval_loss": 3.5885000228881836,
+    "eval_runtime": 9.5147,
+    "eval_samples": 64,
+    "eval_samples_per_second": 6.726,
+    "eval_steps_per_second": 0.105,
+    "eval_wer": 2.3790849673202614,
+    "total_flos": 3.320831803392e+16,
+    "train_loss": 3.6943881511688232,
+    "train_runtime": 99.8208,
+    "train_samples": 128,
+    "train_samples_per_second": 5.129,
+    "train_steps_per_second": 0.04
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 4.0,
+    "eval_loss": 3.5885000228881836,
+    "eval_runtime": 9.5147,
+    "eval_samples": 64,
+    "eval_samples_per_second": 6.726,
+    "eval_steps_per_second": 0.105,
+    "eval_wer": 2.3790849673202614
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 4.0,
+    "total_flos": 3.320831803392e+16,
+    "train_loss": 3.6943881511688232,
+    "train_runtime": 99.8208,
+    "train_samples": 128,
+    "train_samples_per_second": 5.129,
+    "train_steps_per_second": 0.04
+}

trainer_state.json

@@ -0,0 +1,78 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 4.0,
+  "eval_steps": 500,
+  "global_step": 4,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "eval_loss": 3.5885000228881836,
+      "eval_runtime": 9.5223,
+      "eval_samples_per_second": 6.721,
+      "eval_steps_per_second": 0.105,
+      "eval_wer": 2.3790849673202614,
+      "step": 1
+    },
+    {
+      "epoch": 2.0,
+      "eval_loss": 3.5885000228881836,
+      "eval_runtime": 9.4355,
+      "eval_samples_per_second": 6.783,
+      "eval_steps_per_second": 0.106,
+      "eval_wer": 2.3790849673202614,
+      "step": 2
+    },
+    {
+      "epoch": 3.0,
+      "eval_loss": 3.5885000228881836,
+      "eval_runtime": 9.2865,
+      "eval_samples_per_second": 6.892,
+      "eval_steps_per_second": 0.108,
+      "eval_wer": 2.3790849673202614,
+      "step": 3
+    },
+    {
+      "epoch": 4.0,
+      "eval_loss": 3.5885000228881836,
+      "eval_runtime": 9.4589,
+      "eval_samples_per_second": 6.766,
+      "eval_steps_per_second": 0.106,
+      "eval_wer": 2.3790849673202614,
+      "step": 4
+    },
+    {
+      "epoch": 4.0,
+      "step": 4,
+      "total_flos": 3.320831803392e+16,
+      "train_loss": 3.6943881511688232,
+      "train_runtime": 99.8208,
+      "train_samples_per_second": 5.129,
+      "train_steps_per_second": 0.04
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 4,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 4,
+  "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": 3.320831803392e+16,
+  "train_batch_size": 256,
+  "trial_name": null,
+  "trial_params": null
+}