Training checkpoint
Browse files- README.md +7 -5
- trainer_state.json +10 -10
README.md
CHANGED
@@ -1,21 +1,23 @@
|
|
1 |
---
|
|
|
|
|
2 |
license: apache-2.0
|
3 |
-
base_model:
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
7 |
-
- common_voice_16_1
|
8 |
model-index:
|
9 |
-
- name:
|
10 |
results: []
|
11 |
---
|
12 |
|
13 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
should probably proofread and complete it, then remove this comment. -->
|
15 |
|
16 |
-
#
|
17 |
|
18 |
-
This model is a fine-tuned version of [
|
19 |
It achieves the following results on the evaluation set:
|
20 |
- Cer: 33.3994
|
21 |
- Loss: 0.6020
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- zh
|
4 |
license: apache-2.0
|
5 |
+
base_model: openai/whisper-small
|
6 |
tags:
|
7 |
- generated_from_trainer
|
8 |
datasets:
|
9 |
+
- mozilla-foundation/common_voice_16_1
|
10 |
model-index:
|
11 |
+
- name: Wisper-Small-zh_test
|
12 |
results: []
|
13 |
---
|
14 |
|
15 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
16 |
should probably proofread and complete it, then remove this comment. -->
|
17 |
|
18 |
+
# Wisper-Small-zh_test
|
19 |
|
20 |
+
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
|
21 |
It achieves the following results on the evaluation set:
|
22 |
- Cer: 33.3994
|
23 |
- Loss: 0.6020
|
trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"best_metric": 33.39944765252322,
|
3 |
"best_model_checkpoint": "/kaggle/working/whisper-small/checkpoint-1000",
|
4 |
-
"epoch": 1.
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
@@ -307,13 +307,13 @@
|
|
307 |
"step": 1000
|
308 |
},
|
309 |
{
|
310 |
-
"epoch": 1.
|
311 |
-
"step":
|
312 |
-
"total_flos": 4.
|
313 |
-
"train_loss":
|
314 |
-
"train_runtime":
|
315 |
-
"train_samples_per_second":
|
316 |
-
"train_steps_per_second":
|
317 |
}
|
318 |
],
|
319 |
"logging_steps": 25,
|
@@ -333,7 +333,7 @@
|
|
333 |
"attributes": {}
|
334 |
}
|
335 |
},
|
336 |
-
"total_flos": 4.
|
337 |
"train_batch_size": 16,
|
338 |
"trial_name": null,
|
339 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": 33.39944765252322,
|
3 |
"best_model_checkpoint": "/kaggle/working/whisper-small/checkpoint-1000",
|
4 |
+
"epoch": 1.3258278145695364,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 1001,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
307 |
"step": 1000
|
308 |
},
|
309 |
{
|
310 |
+
"epoch": 1.3258278145695364,
|
311 |
+
"step": 1001,
|
312 |
+
"total_flos": 4.66193748381696e+18,
|
313 |
+
"train_loss": 0.0006697479780618246,
|
314 |
+
"train_runtime": 18.134,
|
315 |
+
"train_samples_per_second": 882.321,
|
316 |
+
"train_steps_per_second": 55.145
|
317 |
}
|
318 |
],
|
319 |
"logging_steps": 25,
|
|
|
333 |
"attributes": {}
|
334 |
}
|
335 |
},
|
336 |
+
"total_flos": 4.66193748381696e+18,
|
337 |
"train_batch_size": 16,
|
338 |
"trial_name": null,
|
339 |
"trial_params": null
|