End of training

README.md

@@ -1,39 +1,42 @@
 ---
+language:
+- ml
 license: apache-2.0
 base_model: openai/whisper-base
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_16_0
+- mozilla-foundation/common_voice_16_0
 metrics:
 - wer
 model-index:
-- name: breeze-dsw-base-ml
+- name: Breeze DSW Malayalam - base
   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 ml
+      type: mozilla-foundation/common_voice_16_0
       config: ml
       split: test
       args: ml
     metrics:
     - name: Wer
       type: wer
-      value: 44.21686746987952
+      value: 42.72474513438369
 ---
 
 <!-- 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. -->
 
-# breeze-dsw-base-ml
+# Breeze DSW Malayalam - base
 
-This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice_16_0 dataset.
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_16_0 ml dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7354
-- Wer: 44.2169
+- Loss: 0.6260
+- Wer: 42.7247
 
 ## Model description
 

all_results.json

@@ -1,12 +1,12 @@
 {
     "epoch": 29.02,
     "eval_loss": 0.6259765625,
-    "eval_runtime": 1588.6597,
+    "eval_runtime": 1588.1017,
     "eval_samples_per_second": 0.417,
     "eval_steps_per_second": 0.026,
     "eval_wer": 42.72474513438369,
     "train_loss": 0.0,
-    "train_runtime": 41.2826,
-    "train_samples_per_second": 1550.288,
-    "train_steps_per_second": 48.447
+    "train_runtime": 35.9854,
+    "train_samples_per_second": 1778.5,
+    "train_steps_per_second": 55.578
 }

eval_results.json

@@ -1,7 +1,7 @@
 {
     "epoch": 29.02,
     "eval_loss": 0.6259765625,
-    "eval_runtime": 1588.6597,
+    "eval_runtime": 1588.1017,
     "eval_samples_per_second": 0.417,
     "eval_steps_per_second": 0.026,
     "eval_wer": 42.72474513438369

runs/Jan17_16-47-28_knight/events.out.tfevents.1705508148.knight.133326.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:906eb3d630d72cea6b572547745afc37332a97d0943f011207b6159ec3fca992
+size 406

train_results.json

@@ -1,7 +1,7 @@
 {
     "epoch": 29.02,
     "train_loss": 0.0,
-    "train_runtime": 41.2826,
-    "train_samples_per_second": 1550.288,
-    "train_steps_per_second": 48.447
+    "train_runtime": 35.9854,
+    "train_samples_per_second": 1778.5,
+    "train_steps_per_second": 55.578
 }

trainer_state.json

@@ -355,9 +355,9 @@
       "step": 1200,
       "total_flos": 2.443924644411998e+18,
       "train_loss": 0.0,
-      "train_runtime": 41.2826,
-      "train_samples_per_second": 1550.288,
-      "train_steps_per_second": 48.447
+      "train_runtime": 35.9854,
+      "train_samples_per_second": 1778.5,
+      "train_steps_per_second": 55.578
     }
   ],
   "logging_steps": 25,