End of training
Browse files- README.md +8 -4
- all_results.json +16 -0
- eval_results.json +10 -0
- train_results.json +9 -0
- trainer_state.json +357 -0
README.md
CHANGED
|
@@ -1,8 +1,12 @@
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
|
|
|
|
|
|
| 3 |
license: apache-2.0
|
| 4 |
base_model: rinna/japanese-hubert-base
|
| 5 |
tags:
|
|
|
|
|
|
|
| 6 |
- generated_from_trainer
|
| 7 |
metrics:
|
| 8 |
- wer
|
|
@@ -16,11 +20,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 16 |
|
| 17 |
# Hubert-common_voice-phoneme-onlyJSUT
|
| 18 |
|
| 19 |
-
This model is a fine-tuned version of [rinna/japanese-hubert-base](https://huggingface.co/rinna/japanese-hubert-base) on the
|
| 20 |
It achieves the following results on the evaluation set:
|
| 21 |
-
- Loss: 0.
|
| 22 |
-
- Wer:
|
| 23 |
-
- Cer: 0.
|
| 24 |
|
| 25 |
## Model description
|
| 26 |
|
|
|
|
| 1 |
---
|
| 2 |
library_name: transformers
|
| 3 |
+
language:
|
| 4 |
+
- ja
|
| 5 |
license: apache-2.0
|
| 6 |
base_model: rinna/japanese-hubert-base
|
| 7 |
tags:
|
| 8 |
+
- automatic-speech-recognition
|
| 9 |
+
- mozilla-foundation/common_voice_13_0
|
| 10 |
- generated_from_trainer
|
| 11 |
metrics:
|
| 12 |
- wer
|
|
|
|
| 20 |
|
| 21 |
# Hubert-common_voice-phoneme-onlyJSUT
|
| 22 |
|
| 23 |
+
This model is a fine-tuned version of [rinna/japanese-hubert-base](https://huggingface.co/rinna/japanese-hubert-base) on the MOZILLA-FOUNDATION/COMMON_VOICE_13_0 - JA dataset.
|
| 24 |
It achieves the following results on the evaluation set:
|
| 25 |
+
- Loss: 0.1563
|
| 26 |
+
- Wer: 1.0
|
| 27 |
+
- Cer: 0.1052
|
| 28 |
|
| 29 |
## Model description
|
| 30 |
|
all_results.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 20.0,
|
| 3 |
+
"eval_cer": 0.10522982265653276,
|
| 4 |
+
"eval_loss": 0.15634456276893616,
|
| 5 |
+
"eval_runtime": 20.6964,
|
| 6 |
+
"eval_samples": 500,
|
| 7 |
+
"eval_samples_per_second": 24.159,
|
| 8 |
+
"eval_steps_per_second": 3.044,
|
| 9 |
+
"eval_wer": 1.0,
|
| 10 |
+
"total_flos": 4.085369652431226e+18,
|
| 11 |
+
"train_loss": 2.2413718947282075,
|
| 12 |
+
"train_runtime": 5214.7646,
|
| 13 |
+
"train_samples": 4500,
|
| 14 |
+
"train_samples_per_second": 17.259,
|
| 15 |
+
"train_steps_per_second": 0.541
|
| 16 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 20.0,
|
| 3 |
+
"eval_cer": 0.10522982265653276,
|
| 4 |
+
"eval_loss": 0.15634456276893616,
|
| 5 |
+
"eval_runtime": 20.6964,
|
| 6 |
+
"eval_samples": 500,
|
| 7 |
+
"eval_samples_per_second": 24.159,
|
| 8 |
+
"eval_steps_per_second": 3.044,
|
| 9 |
+
"eval_wer": 1.0
|
| 10 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 20.0,
|
| 3 |
+
"total_flos": 4.085369652431226e+18,
|
| 4 |
+
"train_loss": 2.2413718947282075,
|
| 5 |
+
"train_runtime": 5214.7646,
|
| 6 |
+
"train_samples": 4500,
|
| 7 |
+
"train_samples_per_second": 17.259,
|
| 8 |
+
"train_steps_per_second": 0.541
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,357 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.16017669439315796,
|
| 3 |
+
"best_model_checkpoint": "./Hubert-common_voice-phoneme-onlyJSUT/checkpoint-2600",
|
| 4 |
+
"epoch": 20.0,
|
| 5 |
+
"eval_steps": 100,
|
| 6 |
+
"global_step": 2820,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.7092198581560284,
|
| 13 |
+
"eval_cer": 0.9860960308843045,
|
| 14 |
+
"eval_loss": 11.361393928527832,
|
| 15 |
+
"eval_runtime": 21.3659,
|
| 16 |
+
"eval_samples_per_second": 23.402,
|
| 17 |
+
"eval_steps_per_second": 2.949,
|
| 18 |
+
"eval_wer": 1.054,
|
| 19 |
+
"step": 100
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"epoch": 1.4184397163120568,
|
| 23 |
+
"eval_cer": 0.9851007359150682,
|
| 24 |
+
"eval_loss": 5.935764789581299,
|
| 25 |
+
"eval_runtime": 21.3202,
|
| 26 |
+
"eval_samples_per_second": 23.452,
|
| 27 |
+
"eval_steps_per_second": 2.955,
|
| 28 |
+
"eval_wer": 1.0,
|
| 29 |
+
"step": 200
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"epoch": 2.127659574468085,
|
| 33 |
+
"eval_cer": 0.9850705754614549,
|
| 34 |
+
"eval_loss": 5.310074329376221,
|
| 35 |
+
"eval_runtime": 20.7223,
|
| 36 |
+
"eval_samples_per_second": 24.129,
|
| 37 |
+
"eval_steps_per_second": 3.04,
|
| 38 |
+
"eval_wer": 1.0,
|
| 39 |
+
"step": 300
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 2.8368794326241136,
|
| 43 |
+
"eval_cer": 0.9851007359150682,
|
| 44 |
+
"eval_loss": 4.895324230194092,
|
| 45 |
+
"eval_runtime": 20.9802,
|
| 46 |
+
"eval_samples_per_second": 23.832,
|
| 47 |
+
"eval_steps_per_second": 3.003,
|
| 48 |
+
"eval_wer": 1.0,
|
| 49 |
+
"step": 400
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"epoch": 3.546099290780142,
|
| 53 |
+
"grad_norm": 18.17830467224121,
|
| 54 |
+
"learning_rate": 1.1903999999999998e-05,
|
| 55 |
+
"loss": 6.9061,
|
| 56 |
+
"step": 500
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 3.546099290780142,
|
| 60 |
+
"eval_cer": 0.9851007359150682,
|
| 61 |
+
"eval_loss": 4.402055740356445,
|
| 62 |
+
"eval_runtime": 21.0039,
|
| 63 |
+
"eval_samples_per_second": 23.805,
|
| 64 |
+
"eval_steps_per_second": 2.999,
|
| 65 |
+
"eval_wer": 1.0,
|
| 66 |
+
"step": 500
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 4.25531914893617,
|
| 70 |
+
"eval_cer": 0.9851007359150682,
|
| 71 |
+
"eval_loss": 3.9323222637176514,
|
| 72 |
+
"eval_runtime": 21.0838,
|
| 73 |
+
"eval_samples_per_second": 23.715,
|
| 74 |
+
"eval_steps_per_second": 2.988,
|
| 75 |
+
"eval_wer": 1.0,
|
| 76 |
+
"step": 600
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"epoch": 4.964539007092198,
|
| 80 |
+
"eval_cer": 0.9851007359150682,
|
| 81 |
+
"eval_loss": 3.4932363033294678,
|
| 82 |
+
"eval_runtime": 20.4799,
|
| 83 |
+
"eval_samples_per_second": 24.414,
|
| 84 |
+
"eval_steps_per_second": 3.076,
|
| 85 |
+
"eval_wer": 1.0,
|
| 86 |
+
"step": 700
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 5.673758865248227,
|
| 90 |
+
"eval_cer": 0.9850404150078417,
|
| 91 |
+
"eval_loss": 3.209160566329956,
|
| 92 |
+
"eval_runtime": 21.0193,
|
| 93 |
+
"eval_samples_per_second": 23.788,
|
| 94 |
+
"eval_steps_per_second": 2.997,
|
| 95 |
+
"eval_wer": 1.0,
|
| 96 |
+
"step": 800
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 6.382978723404255,
|
| 100 |
+
"eval_cer": 0.9850705754614549,
|
| 101 |
+
"eval_loss": 3.0484230518341064,
|
| 102 |
+
"eval_runtime": 20.7411,
|
| 103 |
+
"eval_samples_per_second": 24.107,
|
| 104 |
+
"eval_steps_per_second": 3.037,
|
| 105 |
+
"eval_wer": 1.0,
|
| 106 |
+
"step": 900
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"epoch": 7.092198581560283,
|
| 110 |
+
"grad_norm": 0.6846523284912109,
|
| 111 |
+
"learning_rate": 2.3903999999999997e-05,
|
| 112 |
+
"loss": 3.4303,
|
| 113 |
+
"step": 1000
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 7.092198581560283,
|
| 117 |
+
"eval_cer": 0.9850404150078417,
|
| 118 |
+
"eval_loss": 2.9960806369781494,
|
| 119 |
+
"eval_runtime": 20.4215,
|
| 120 |
+
"eval_samples_per_second": 24.484,
|
| 121 |
+
"eval_steps_per_second": 3.085,
|
| 122 |
+
"eval_wer": 1.0,
|
| 123 |
+
"step": 1000
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 7.801418439716312,
|
| 127 |
+
"eval_cer": 0.9850102545542285,
|
| 128 |
+
"eval_loss": 2.799971580505371,
|
| 129 |
+
"eval_runtime": 20.9162,
|
| 130 |
+
"eval_samples_per_second": 23.905,
|
| 131 |
+
"eval_steps_per_second": 3.012,
|
| 132 |
+
"eval_wer": 1.0,
|
| 133 |
+
"step": 1100
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"epoch": 8.51063829787234,
|
| 137 |
+
"eval_cer": 0.5949149475208108,
|
| 138 |
+
"eval_loss": 1.9060593843460083,
|
| 139 |
+
"eval_runtime": 21.115,
|
| 140 |
+
"eval_samples_per_second": 23.68,
|
| 141 |
+
"eval_steps_per_second": 2.984,
|
| 142 |
+
"eval_wer": 1.0,
|
| 143 |
+
"step": 1200
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 9.21985815602837,
|
| 147 |
+
"eval_cer": 0.1546929665822174,
|
| 148 |
+
"eval_loss": 0.8767441511154175,
|
| 149 |
+
"eval_runtime": 20.8067,
|
| 150 |
+
"eval_samples_per_second": 24.031,
|
| 151 |
+
"eval_steps_per_second": 3.028,
|
| 152 |
+
"eval_wer": 1.0,
|
| 153 |
+
"step": 1300
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 9.929078014184396,
|
| 157 |
+
"eval_cer": 0.12679454698998674,
|
| 158 |
+
"eval_loss": 0.5386155843734741,
|
| 159 |
+
"eval_runtime": 21.0364,
|
| 160 |
+
"eval_samples_per_second": 23.768,
|
| 161 |
+
"eval_steps_per_second": 2.995,
|
| 162 |
+
"eval_wer": 1.0,
|
| 163 |
+
"step": 1400
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 10.638297872340425,
|
| 167 |
+
"grad_norm": 2.450634241104126,
|
| 168 |
+
"learning_rate": 3.5903999999999994e-05,
|
| 169 |
+
"loss": 1.6163,
|
| 170 |
+
"step": 1500
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 10.638297872340425,
|
| 174 |
+
"eval_cer": 0.11901314995777537,
|
| 175 |
+
"eval_loss": 0.38196861743927,
|
| 176 |
+
"eval_runtime": 21.1077,
|
| 177 |
+
"eval_samples_per_second": 23.688,
|
| 178 |
+
"eval_steps_per_second": 2.985,
|
| 179 |
+
"eval_wer": 1.0,
|
| 180 |
+
"step": 1500
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 11.347517730496454,
|
| 184 |
+
"eval_cer": 0.11382555193630112,
|
| 185 |
+
"eval_loss": 0.298287034034729,
|
| 186 |
+
"eval_runtime": 21.1084,
|
| 187 |
+
"eval_samples_per_second": 23.687,
|
| 188 |
+
"eval_steps_per_second": 2.985,
|
| 189 |
+
"eval_wer": 1.0,
|
| 190 |
+
"step": 1600
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 12.056737588652481,
|
| 194 |
+
"eval_cer": 0.11165399927614911,
|
| 195 |
+
"eval_loss": 0.25243452191352844,
|
| 196 |
+
"eval_runtime": 20.9043,
|
| 197 |
+
"eval_samples_per_second": 23.919,
|
| 198 |
+
"eval_steps_per_second": 3.014,
|
| 199 |
+
"eval_wer": 1.0,
|
| 200 |
+
"step": 1700
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 12.76595744680851,
|
| 204 |
+
"eval_cer": 0.110417420678007,
|
| 205 |
+
"eval_loss": 0.22604165971279144,
|
| 206 |
+
"eval_runtime": 20.6318,
|
| 207 |
+
"eval_samples_per_second": 24.234,
|
| 208 |
+
"eval_steps_per_second": 3.054,
|
| 209 |
+
"eval_wer": 1.0,
|
| 210 |
+
"step": 1800
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 13.47517730496454,
|
| 214 |
+
"eval_cer": 0.11099046929665822,
|
| 215 |
+
"eval_loss": 0.20960931479930878,
|
| 216 |
+
"eval_runtime": 20.9655,
|
| 217 |
+
"eval_samples_per_second": 23.849,
|
| 218 |
+
"eval_steps_per_second": 3.005,
|
| 219 |
+
"eval_wer": 1.0,
|
| 220 |
+
"step": 1900
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 14.184397163120567,
|
| 224 |
+
"grad_norm": 1.458462119102478,
|
| 225 |
+
"learning_rate": 4.7903999999999994e-05,
|
| 226 |
+
"loss": 0.332,
|
| 227 |
+
"step": 2000
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 14.184397163120567,
|
| 231 |
+
"eval_cer": 0.10924116298709133,
|
| 232 |
+
"eval_loss": 0.18963314592838287,
|
| 233 |
+
"eval_runtime": 20.9261,
|
| 234 |
+
"eval_samples_per_second": 23.894,
|
| 235 |
+
"eval_steps_per_second": 3.011,
|
| 236 |
+
"eval_wer": 0.998,
|
| 237 |
+
"step": 2000
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 14.893617021276595,
|
| 241 |
+
"eval_cer": 0.10945228616238388,
|
| 242 |
+
"eval_loss": 0.1838211864233017,
|
| 243 |
+
"eval_runtime": 20.7677,
|
| 244 |
+
"eval_samples_per_second": 24.076,
|
| 245 |
+
"eval_steps_per_second": 3.034,
|
| 246 |
+
"eval_wer": 1.0,
|
| 247 |
+
"step": 2100
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 15.602836879432624,
|
| 251 |
+
"eval_cer": 0.10806490529617566,
|
| 252 |
+
"eval_loss": 0.17658106982707977,
|
| 253 |
+
"eval_runtime": 21.0918,
|
| 254 |
+
"eval_samples_per_second": 23.706,
|
| 255 |
+
"eval_steps_per_second": 2.987,
|
| 256 |
+
"eval_wer": 1.0,
|
| 257 |
+
"step": 2200
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 16.31205673758865,
|
| 261 |
+
"eval_cer": 0.10706961032693932,
|
| 262 |
+
"eval_loss": 0.1687668263912201,
|
| 263 |
+
"eval_runtime": 20.9189,
|
| 264 |
+
"eval_samples_per_second": 23.902,
|
| 265 |
+
"eval_steps_per_second": 3.012,
|
| 266 |
+
"eval_wer": 0.998,
|
| 267 |
+
"step": 2300
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 17.02127659574468,
|
| 271 |
+
"eval_cer": 0.1069188080588732,
|
| 272 |
+
"eval_loss": 0.16668924689292908,
|
| 273 |
+
"eval_runtime": 21.205,
|
| 274 |
+
"eval_samples_per_second": 23.579,
|
| 275 |
+
"eval_steps_per_second": 2.971,
|
| 276 |
+
"eval_wer": 0.998,
|
| 277 |
+
"step": 2400
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 17.73049645390071,
|
| 281 |
+
"grad_norm": 2.1788010597229004,
|
| 282 |
+
"learning_rate": 5.9903999999999994e-05,
|
| 283 |
+
"loss": 0.2296,
|
| 284 |
+
"step": 2500
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 17.73049645390071,
|
| 288 |
+
"eval_cer": 0.10688864760525998,
|
| 289 |
+
"eval_loss": 0.16431093215942383,
|
| 290 |
+
"eval_runtime": 21.0484,
|
| 291 |
+
"eval_samples_per_second": 23.755,
|
| 292 |
+
"eval_steps_per_second": 2.993,
|
| 293 |
+
"eval_wer": 1.0,
|
| 294 |
+
"step": 2500
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 18.43971631205674,
|
| 298 |
+
"eval_cer": 0.10706961032693932,
|
| 299 |
+
"eval_loss": 0.16017669439315796,
|
| 300 |
+
"eval_runtime": 20.7713,
|
| 301 |
+
"eval_samples_per_second": 24.072,
|
| 302 |
+
"eval_steps_per_second": 3.033,
|
| 303 |
+
"eval_wer": 1.0,
|
| 304 |
+
"step": 2600
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 19.148936170212767,
|
| 308 |
+
"eval_cer": 0.10682832669803353,
|
| 309 |
+
"eval_loss": 0.16536767780780792,
|
| 310 |
+
"eval_runtime": 21.3386,
|
| 311 |
+
"eval_samples_per_second": 23.432,
|
| 312 |
+
"eval_steps_per_second": 2.952,
|
| 313 |
+
"eval_wer": 1.0,
|
| 314 |
+
"step": 2700
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 19.858156028368793,
|
| 318 |
+
"eval_cer": 0.10604415490408976,
|
| 319 |
+
"eval_loss": 0.16166533529758453,
|
| 320 |
+
"eval_runtime": 21.3062,
|
| 321 |
+
"eval_samples_per_second": 23.467,
|
| 322 |
+
"eval_steps_per_second": 2.957,
|
| 323 |
+
"eval_wer": 0.998,
|
| 324 |
+
"step": 2800
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 20.0,
|
| 328 |
+
"step": 2820,
|
| 329 |
+
"total_flos": 4.085369652431226e+18,
|
| 330 |
+
"train_loss": 2.2413718947282075,
|
| 331 |
+
"train_runtime": 5214.7646,
|
| 332 |
+
"train_samples_per_second": 17.259,
|
| 333 |
+
"train_steps_per_second": 0.541
|
| 334 |
+
}
|
| 335 |
+
],
|
| 336 |
+
"logging_steps": 500,
|
| 337 |
+
"max_steps": 2820,
|
| 338 |
+
"num_input_tokens_seen": 0,
|
| 339 |
+
"num_train_epochs": 20,
|
| 340 |
+
"save_steps": 400,
|
| 341 |
+
"stateful_callbacks": {
|
| 342 |
+
"TrainerControl": {
|
| 343 |
+
"args": {
|
| 344 |
+
"should_epoch_stop": false,
|
| 345 |
+
"should_evaluate": false,
|
| 346 |
+
"should_log": false,
|
| 347 |
+
"should_save": true,
|
| 348 |
+
"should_training_stop": true
|
| 349 |
+
},
|
| 350 |
+
"attributes": {}
|
| 351 |
+
}
|
| 352 |
+
},
|
| 353 |
+
"total_flos": 4.085369652431226e+18,
|
| 354 |
+
"train_batch_size": 16,
|
| 355 |
+
"trial_name": null,
|
| 356 |
+
"trial_params": null
|
| 357 |
+
}
|