Training checkpoint

README.md

@@ -1,21 +1,23 @@
 ---
+language:
+- zh
 license: apache-2.0
-base_model: jun-han/whisper-small-zh
+base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 datasets:
-- common_voice_16_1
+- mozilla-foundation/common_voice_16_1
 model-index:
-- name: whisper-small
+- name: Wisper-Small-zh_test
   results: []
 ---
 
 <!-- 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. -->
 
-# whisper-small
+# Wisper-Small-zh_test
 
-This model is a fine-tuned version of [jun-han/whisper-small-zh](https://huggingface.co/jun-han/whisper-small-zh) on the common_voice_16_1 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
 It achieves the following results on the evaluation set:
 - Cer: 33.3994
 - Loss: 0.6020

trainer_state.json

@@ -1,9 +1,9 @@
 {
   "best_metric": 33.39944765252322,
   "best_model_checkpoint": "/kaggle/working/whisper-small/checkpoint-1000",
-  "epoch": 1.3245033112582782,
+  "epoch": 1.3258278145695364,
   "eval_steps": 500,
-  "global_step": 1000,
+  "global_step": 1001,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -307,13 +307,13 @@
       "step": 1000
     },
     {
-      "epoch": 1.3245033112582782,
-      "step": 1000,
-      "total_flos": 4.65727933108224e+18,
-      "train_loss": 2.47559251499176,
-      "train_runtime": 12073.0146,
-      "train_samples_per_second": 1.325,
-      "train_steps_per_second": 0.083
+      "epoch": 1.3258278145695364,
+      "step": 1001,
+      "total_flos": 4.66193748381696e+18,
+      "train_loss": 0.0006697479780618246,
+      "train_runtime": 25.0038,
+      "train_samples_per_second": 639.904,
+      "train_steps_per_second": 39.994
     }
   ],
   "logging_steps": 25,
@@ -333,7 +333,7 @@
       "attributes": {}
     }
   },
-  "total_flos": 4.65727933108224e+18,
+  "total_flos": 4.66193748381696e+18,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null