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-hac-telegram
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: razhan/DOLMA-speech gilaki
+      type: razhan/DOLMA-speech
+      args: gilaki
+    metrics:
+    - name: Wer
+      type: wer
+      value: 1.0472082810539523
 ---
 
 <!-- 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-hac-telegram
 
-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 gilaki dataset.
 It achieves the following results on the evaluation set:
 - Loss: 2.6806
 - Wer: 1.0472

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 5.0,
+    "eval_cer": 0.5467684084675434,
+    "eval_loss": 2.6806018352508545,
+    "eval_runtime": 53.2976,
+    "eval_samples": 625,
+    "eval_samples_per_second": 11.727,
+    "eval_steps_per_second": 0.056,
+    "eval_wer": 1.0472082810539523,
+    "total_flos": 9.962495329645363e+17,
+    "train_loss": 2.304109636942546,
+    "train_runtime": 1167.3913,
+    "train_samples": 2960,
+    "train_samples_per_second": 12.678,
+    "train_steps_per_second": 0.026
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 5.0,
+    "eval_cer": 0.5467684084675434,
+    "eval_loss": 2.6806018352508545,
+    "eval_runtime": 53.2976,
+    "eval_samples": 625,
+    "eval_samples_per_second": 11.727,
+    "eval_steps_per_second": 0.056,
+    "eval_wer": 1.0472082810539523
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 5.0,
+    "total_flos": 9.962495329645363e+17,
+    "train_loss": 2.304109636942546,
+    "train_runtime": 1167.3913,
+    "train_samples": 2960,
+    "train_samples_per_second": 12.678,
+    "train_steps_per_second": 0.026
+}

trainer_state.json

@@ -0,0 +1,113 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 5.0,
+  "eval_steps": 500,
+  "global_step": 30,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "eval_cer": 0.5559814332934806,
+      "eval_loss": 3.5223801136016846,
+      "eval_runtime": 54.3029,
+      "eval_samples_per_second": 11.51,
+      "eval_steps_per_second": 0.055,
+      "eval_wer": 1.131116687578419,
+      "step": 6
+    },
+    {
+      "epoch": 1.6666666666666665,
+      "grad_norm": 23.496896743774414,
+      "learning_rate": 6.000000000000001e-07,
+      "loss": 2.4889,
+      "step": 10
+    },
+    {
+      "epoch": 2.0,
+      "eval_cer": 0.5018285392784303,
+      "eval_loss": 3.4807357788085938,
+      "eval_runtime": 52.1391,
+      "eval_samples_per_second": 11.987,
+      "eval_steps_per_second": 0.058,
+      "eval_wer": 1.0566185696361354,
+      "step": 12
+    },
+    {
+      "epoch": 3.0,
+      "eval_cer": 0.4985934313242844,
+      "eval_loss": 3.2107956409454346,
+      "eval_runtime": 53.2554,
+      "eval_samples_per_second": 11.736,
+      "eval_steps_per_second": 0.056,
+      "eval_wer": 1.0561480552070264,
+      "step": 18
+    },
+    {
+      "epoch": 3.3333333333333335,
+      "grad_norm": 17.40036964416504,
+      "learning_rate": 1.6000000000000001e-06,
+      "loss": 2.3707,
+      "step": 20
+    },
+    {
+      "epoch": 4.0,
+      "eval_cer": 0.5154722554328716,
+      "eval_loss": 2.944542169570923,
+      "eval_runtime": 53.7146,
+      "eval_samples_per_second": 11.636,
+      "eval_steps_per_second": 0.056,
+      "eval_wer": 1.0583437892095358,
+      "step": 24
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 12.635431289672852,
+      "learning_rate": 2.6e-06,
+      "loss": 2.0528,
+      "step": 30
+    },
+    {
+      "epoch": 5.0,
+      "eval_cer": 0.5467684084675434,
+      "eval_loss": 2.6806018352508545,
+      "eval_runtime": 53.3587,
+      "eval_samples_per_second": 11.713,
+      "eval_steps_per_second": 0.056,
+      "eval_wer": 1.0472082810539523,
+      "step": 30
+    },
+    {
+      "epoch": 5.0,
+      "step": 30,
+      "total_flos": 9.962495329645363e+17,
+      "train_loss": 2.304109636942546,
+      "train_runtime": 1167.3913,
+      "train_samples_per_second": 12.678,
+      "train_steps_per_second": 0.026
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 30,
+  "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": 9.962495329645363e+17,
+  "train_batch_size": 256,
+  "trial_name": null,
+  "trial_params": null
+}