Revert "Revert "End of training""

This reverts commit ff0d44f8c852eab3020a4644b586866383845628.

README.md

@@ -1,21 +1,24 @@
 ---
+language:
+- hi
 license: apache-2.0
 base_model: vasista22/whisper-hindi-small
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_16_0
+- mozilla-foundation/common_voice_16_0
 metrics:
 - wer
 model-index:
-- name: vasista22/whisper-hindi-small
+- name: Whisper Base Bengali
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_16_0
-      type: common_voice_16_0
+      name: mozilla-foundation/common_voice_16_0 hi
+      type: mozilla-foundation/common_voice_16_0
       config: hi
       split: test
       args: hi
@@ -28,9 +31,9 @@ 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. -->
 
-# vasista22/whisper-hindi-small
+# Whisper Base Bengali
 
-This model is a fine-tuned version of [vasista22/whisper-hindi-small](https://huggingface.co/vasista22/whisper-hindi-small) on the common_voice_16_0 dataset.
+This model is a fine-tuned version of [vasista22/whisper-hindi-small](https://huggingface.co/vasista22/whisper-hindi-small) on the mozilla-foundation/common_voice_16_0 hi dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1836
 - Wer: 10.1104

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 1.24,
+    "eval_loss": 0.1836123764514923,
+    "eval_runtime": 1846.6666,
+    "eval_samples_per_second": 1.682,
+    "eval_steps_per_second": 0.106,
+    "eval_wer": 10.110413057544196,
+    "train_loss": 0.25586883068084715,
+    "train_runtime": 4627.7909,
+    "train_samples_per_second": 1.383,
+    "train_steps_per_second": 0.022
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.24,
+    "eval_loss": 0.1836123764514923,
+    "eval_runtime": 1846.6666,
+    "eval_samples_per_second": 1.682,
+    "eval_steps_per_second": 0.106,
+    "eval_wer": 10.110413057544196
+}

runs/Jan21_22-05-20_ip-172-31-68-44/events.out.tfevents.1705881232.ip-172-31-68-44.16607.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29b73d6e2f07f4ab19199f3a3c6ca54cca32cb67e38eba7f47b81690c508ab65
+size 400

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 1.24,
+    "train_loss": 0.25586883068084715,
+    "train_runtime": 4627.7909,
+    "train_samples_per_second": 1.383,
+    "train_steps_per_second": 0.022
+}

trainer_state.json

@@ -0,0 +1,72 @@
+{
+  "best_metric": 10.110413057544196,
+  "best_model_checkpoint": "./checkpoint-100",
+  "epoch": 1.2425,
+  "eval_steps": 50,
+  "global_step": 100,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.25,
+      "learning_rate": 8.333333333333333e-07,
+      "loss": 0.5086,
+      "step": 25
+    },
+    {
+      "epoch": 0.5,
+      "learning_rate": 5.555555555555555e-07,
+      "loss": 0.1889,
+      "step": 50
+    },
+    {
+      "epoch": 0.5,
+      "eval_loss": 0.1992899626493454,
+      "eval_runtime": 1843.7009,
+      "eval_samples_per_second": 1.685,
+      "eval_steps_per_second": 0.106,
+      "eval_wer": 10.373400680428293,
+      "step": 50
+    },
+    {
+      "epoch": 0.75,
+      "learning_rate": 2.7777777777777776e-07,
+      "loss": 0.1663,
+      "step": 75
+    },
+    {
+      "epoch": 1.24,
+      "learning_rate": 0.0,
+      "loss": 0.1597,
+      "step": 100
+    },
+    {
+      "epoch": 1.24,
+      "eval_loss": 0.1836123764514923,
+      "eval_runtime": 1847.4417,
+      "eval_samples_per_second": 1.682,
+      "eval_steps_per_second": 0.106,
+      "eval_wer": 10.110413057544196,
+      "step": 100
+    },
+    {
+      "epoch": 1.24,
+      "step": 100,
+      "total_flos": 1.84636939124736e+18,
+      "train_loss": 0.25586883068084715,
+      "train_runtime": 4627.7909,
+      "train_samples_per_second": 1.383,
+      "train_steps_per_second": 0.022
+    }
+  ],
+  "logging_steps": 25,
+  "max_steps": 100,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 9223372036854775807,
+  "save_steps": 50,
+  "total_flos": 1.84636939124736e+18,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}