Model save

README.md

@@ -12,10 +12,11 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mohitdeep-singh-doordash/whisper-finetuning/runs/rabzbf6o)
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mohitdeep-singh-doordash/whisper-finetuning/runs/rabzbf6o)
 # ap-mlTi1PrU6KN45Kz4l2cASa
 
-This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the None dataset.
+This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on an unknown dataset.
 
 ## Model description
 
@@ -46,10 +47,6 @@ The following hyperparameters were used during training:
 - num_epochs: 10
 - mixed_precision_training: Native AMP
 
-### Training results
-
-
-
 ### Framework versions
 
 - Transformers 4.48.3

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 10.0,
+    "eval_loss": 2.101760149002075,
+    "eval_runtime": 4.2469,
+    "eval_samples": 5,
+    "eval_samples_per_second": 1.177,
+    "eval_steps_per_second": 0.235,
+    "eval_wer": 0.6158940397350994,
+    "total_flos": 1.0615855104e+17,
+    "train_loss": 0.05967824459075928,
+    "train_runtime": 55.2907,
+    "train_samples": 5,
+    "train_samples_per_second": 0.904,
+    "train_steps_per_second": 0.181
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 10.0,
+    "eval_loss": 2.101760149002075,
+    "eval_runtime": 4.2469,
+    "eval_samples": 5,
+    "eval_samples_per_second": 1.177,
+    "eval_steps_per_second": 0.235,
+    "eval_wer": 0.6158940397350994
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 10.0,
+    "total_flos": 1.0615855104e+17,
+    "train_loss": 0.05967824459075928,
+    "train_runtime": 55.2907,
+    "train_samples": 5,
+    "train_samples_per_second": 0.904,
+    "train_steps_per_second": 0.181
+}

trainer_state.json

@@ -0,0 +1,42 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 10.0,
+  "eval_steps": 250,
+  "global_step": 10,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 10.0,
+      "step": 10,
+      "total_flos": 1.0615855104e+17,
+      "train_loss": 0.05967824459075928,
+      "train_runtime": 55.2907,
+      "train_samples_per_second": 0.904,
+      "train_steps_per_second": 0.181
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 10,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 10,
+  "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": 1.0615855104e+17,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:ef9ad6fd2b7c3daa18e823597e733a50e35a68dfc23884cdddfa4b4d98389a34
 size 5496