Added model 38
Browse files- config.json +32 -3
- optimizer.pt +2 -2
- pytorch_model.bin +2 -2
- rng_state.pth +1 -1
- scaler.pt +1 -1
- scheduler.pt +1 -1
- trainer_state.json +255 -94
- training_args.bin +2 -2
- vocab.json +3 -1
config.json
CHANGED
|
@@ -1,6 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"_name_or_path": "facebook/wav2vec2-xls-r-300m",
|
| 3 |
"activation_dropout": 0.0,
|
|
|
|
|
|
|
|
|
|
| 4 |
"apply_spec_augment": true,
|
| 5 |
"architectures": [
|
| 6 |
"Wav2Vec2ForCTC"
|
|
@@ -58,10 +61,13 @@
|
|
| 58 |
"layer_norm_eps": 1e-05,
|
| 59 |
"layerdrop": 0.0,
|
| 60 |
"mask_feature_length": 10,
|
|
|
|
| 61 |
"mask_feature_prob": 0.0,
|
| 62 |
"mask_time_length": 10,
|
|
|
|
| 63 |
"mask_time_prob": 0.05,
|
| 64 |
"model_type": "wav2vec2",
|
|
|
|
| 65 |
"num_attention_heads": 16,
|
| 66 |
"num_codevector_groups": 2,
|
| 67 |
"num_codevectors_per_group": 320,
|
|
@@ -70,10 +76,33 @@
|
|
| 70 |
"num_feat_extract_layers": 7,
|
| 71 |
"num_hidden_layers": 24,
|
| 72 |
"num_negatives": 100,
|
| 73 |
-
"
|
|
|
|
| 74 |
"proj_codevector_dim": 768,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 75 |
"torch_dtype": "float32",
|
| 76 |
-
"transformers_version": "4.
|
| 77 |
"use_weighted_layer_sum": false,
|
| 78 |
-
"vocab_size":
|
|
|
|
| 79 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"_name_or_path": "facebook/wav2vec2-xls-r-300m",
|
| 3 |
"activation_dropout": 0.0,
|
| 4 |
+
"adapter_kernel_size": 3,
|
| 5 |
+
"adapter_stride": 2,
|
| 6 |
+
"add_adapter": false,
|
| 7 |
"apply_spec_augment": true,
|
| 8 |
"architectures": [
|
| 9 |
"Wav2Vec2ForCTC"
|
|
|
|
| 61 |
"layer_norm_eps": 1e-05,
|
| 62 |
"layerdrop": 0.0,
|
| 63 |
"mask_feature_length": 10,
|
| 64 |
+
"mask_feature_min_masks": 0,
|
| 65 |
"mask_feature_prob": 0.0,
|
| 66 |
"mask_time_length": 10,
|
| 67 |
+
"mask_time_min_masks": 2,
|
| 68 |
"mask_time_prob": 0.05,
|
| 69 |
"model_type": "wav2vec2",
|
| 70 |
+
"num_adapter_layers": 3,
|
| 71 |
"num_attention_heads": 16,
|
| 72 |
"num_codevector_groups": 2,
|
| 73 |
"num_codevectors_per_group": 320,
|
|
|
|
| 76 |
"num_feat_extract_layers": 7,
|
| 77 |
"num_hidden_layers": 24,
|
| 78 |
"num_negatives": 100,
|
| 79 |
+
"output_hidden_size": 1024,
|
| 80 |
+
"pad_token_id": 1,
|
| 81 |
"proj_codevector_dim": 768,
|
| 82 |
+
"tdnn_dilation": [
|
| 83 |
+
1,
|
| 84 |
+
2,
|
| 85 |
+
3,
|
| 86 |
+
1,
|
| 87 |
+
1
|
| 88 |
+
],
|
| 89 |
+
"tdnn_dim": [
|
| 90 |
+
512,
|
| 91 |
+
512,
|
| 92 |
+
512,
|
| 93 |
+
512,
|
| 94 |
+
1500
|
| 95 |
+
],
|
| 96 |
+
"tdnn_kernel": [
|
| 97 |
+
5,
|
| 98 |
+
3,
|
| 99 |
+
3,
|
| 100 |
+
1,
|
| 101 |
+
1
|
| 102 |
+
],
|
| 103 |
"torch_dtype": "float32",
|
| 104 |
+
"transformers_version": "4.17.0",
|
| 105 |
"use_weighted_layer_sum": false,
|
| 106 |
+
"vocab_size": 50,
|
| 107 |
+
"xvector_output_dim": 512
|
| 108 |
}
|
optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dbbd74245a32dfee65153384591d3e157fbaadbfa9ed6ba3e84bde67ecc0d26b
|
| 3 |
+
size 2490469009
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a8832802a6f0497cac9b5409e1fbc323395d51b9df11522d9b57921ec8537ef6
|
| 3 |
+
size 1262131313
|
rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14503
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e3887bd9846cc5801fe950d093508213f86dcae29c59bc632aecab4edfdc9648
|
| 3 |
size 14503
|
scaler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 559
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8a6f2f23c0d6be14904a75536e0cd71a3982589a865f06899958ca265e06c661
|
| 3 |
size 559
|
scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 623
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1b50675021671aa65e03d08322cba2953ab219a5178e71b41f5c655d59cdae73
|
| 3 |
size 623
|
trainer_state.json
CHANGED
|
@@ -1,151 +1,312 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch": 7.
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
-
"epoch": 0.
|
| 12 |
-
"
|
| 13 |
-
"
|
| 14 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 15 |
},
|
| 16 |
{
|
| 17 |
-
"epoch": 0.
|
| 18 |
-
"
|
| 19 |
-
"
|
| 20 |
-
"eval_samples_per_second": 9.006,
|
| 21 |
-
"eval_steps_per_second": 1.126,
|
| 22 |
-
"eval_wer": 0.36457931084030065,
|
| 23 |
"step": 400
|
| 24 |
},
|
| 25 |
{
|
| 26 |
-
"epoch":
|
| 27 |
-
"
|
| 28 |
-
"
|
| 29 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 30 |
},
|
| 31 |
{
|
| 32 |
-
"epoch":
|
| 33 |
-
"
|
| 34 |
-
"
|
| 35 |
-
"eval_samples_per_second": 9.094,
|
| 36 |
-
"eval_steps_per_second": 1.137,
|
| 37 |
-
"eval_wer": 0.25638285452569753,
|
| 38 |
"step": 800
|
| 39 |
},
|
| 40 |
{
|
| 41 |
-
"epoch":
|
| 42 |
-
"
|
| 43 |
-
"
|
| 44 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 45 |
},
|
| 46 |
{
|
| 47 |
-
"epoch":
|
| 48 |
-
"
|
| 49 |
-
"
|
| 50 |
-
"eval_samples_per_second": 9.139,
|
| 51 |
-
"eval_steps_per_second": 1.142,
|
| 52 |
-
"eval_wer": 0.17959103032697818,
|
| 53 |
"step": 1200
|
| 54 |
},
|
| 55 |
{
|
| 56 |
-
"epoch":
|
| 57 |
-
"
|
| 58 |
-
"
|
| 59 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 60 |
},
|
| 61 |
{
|
| 62 |
-
"epoch":
|
| 63 |
-
"
|
| 64 |
-
"
|
| 65 |
-
"eval_samples_per_second": 9.112,
|
| 66 |
-
"eval_steps_per_second": 1.139,
|
| 67 |
-
"eval_wer": 0.1695059854696326,
|
| 68 |
"step": 1600
|
| 69 |
},
|
| 70 |
{
|
| 71 |
-
"epoch":
|
| 72 |
-
"
|
| 73 |
-
"
|
| 74 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 75 |
},
|
| 76 |
{
|
| 77 |
-
"epoch":
|
| 78 |
-
"
|
| 79 |
-
"
|
| 80 |
-
"eval_samples_per_second": 9.155,
|
| 81 |
-
"eval_steps_per_second": 1.144,
|
| 82 |
-
"eval_wer": 0.16685675284904763,
|
| 83 |
"step": 2000
|
| 84 |
},
|
| 85 |
{
|
| 86 |
-
"epoch":
|
| 87 |
-
"
|
| 88 |
-
"
|
| 89 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 90 |
},
|
| 91 |
{
|
| 92 |
-
"epoch":
|
| 93 |
-
"
|
| 94 |
-
"
|
| 95 |
-
"
|
| 96 |
-
"
|
| 97 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 98 |
"step": 2400
|
| 99 |
},
|
| 100 |
{
|
| 101 |
-
"epoch":
|
| 102 |
-
"
|
| 103 |
-
"
|
| 104 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 105 |
},
|
| 106 |
{
|
| 107 |
-
"epoch":
|
| 108 |
-
"
|
| 109 |
-
"
|
| 110 |
-
"eval_samples_per_second": 9.152,
|
| 111 |
-
"eval_steps_per_second": 1.144,
|
| 112 |
-
"eval_wer": 0.1440015087155263,
|
| 113 |
"step": 2800
|
| 114 |
},
|
| 115 |
{
|
| 116 |
-
"epoch":
|
| 117 |
-
"
|
| 118 |
-
"
|
| 119 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 120 |
},
|
| 121 |
{
|
| 122 |
-
"epoch":
|
| 123 |
-
"
|
| 124 |
-
"
|
| 125 |
-
"eval_samples_per_second": 9.144,
|
| 126 |
-
"eval_steps_per_second": 1.143,
|
| 127 |
-
"eval_wer": 0.139223909548912,
|
| 128 |
"step": 3200
|
| 129 |
},
|
| 130 |
{
|
| 131 |
-
"epoch":
|
| 132 |
-
"
|
| 133 |
-
"
|
| 134 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
| 135 |
},
|
| 136 |
{
|
| 137 |
-
"epoch":
|
| 138 |
-
"
|
| 139 |
-
"
|
| 140 |
-
"eval_samples_per_second": 9.158,
|
| 141 |
-
"eval_steps_per_second": 1.145,
|
| 142 |
-
"eval_wer": 0.1354611011827252,
|
| 143 |
"step": 3600
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 144 |
}
|
| 145 |
],
|
| 146 |
-
"max_steps":
|
| 147 |
"num_train_epochs": 8,
|
| 148 |
-
"total_flos":
|
| 149 |
"trial_name": null,
|
| 150 |
"trial_params": null
|
| 151 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 7.909466234149218,
|
| 5 |
+
"global_step": 6700,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
+
"epoch": 0.4,
|
| 12 |
+
"eval_cer": 0.2550782058484374,
|
| 13 |
+
"eval_loss": 0.9434235095977783,
|
| 14 |
+
"eval_runtime": 65.8936,
|
| 15 |
+
"eval_samples_per_second": 7.588,
|
| 16 |
+
"eval_steps_per_second": 0.956,
|
| 17 |
+
"eval_wer": 0.8986276613768566,
|
| 18 |
+
"step": 335
|
| 19 |
},
|
| 20 |
{
|
| 21 |
+
"epoch": 0.47,
|
| 22 |
+
"learning_rate": 0.00023999999999999998,
|
| 23 |
+
"loss": 3.5921,
|
|
|
|
|
|
|
|
|
|
| 24 |
"step": 400
|
| 25 |
},
|
| 26 |
{
|
| 27 |
+
"epoch": 0.79,
|
| 28 |
+
"eval_cer": 0.05617811418940895,
|
| 29 |
+
"eval_loss": 0.2126482129096985,
|
| 30 |
+
"eval_runtime": 65.2511,
|
| 31 |
+
"eval_samples_per_second": 7.663,
|
| 32 |
+
"eval_steps_per_second": 0.966,
|
| 33 |
+
"eval_wer": 0.20076805783023663,
|
| 34 |
+
"step": 670
|
| 35 |
},
|
| 36 |
{
|
| 37 |
+
"epoch": 0.94,
|
| 38 |
+
"learning_rate": 0.00028565965583173995,
|
| 39 |
+
"loss": 0.3347,
|
|
|
|
|
|
|
|
|
|
| 40 |
"step": 800
|
| 41 |
},
|
| 42 |
{
|
| 43 |
+
"epoch": 1.19,
|
| 44 |
+
"eval_cer": 0.052689157623961445,
|
| 45 |
+
"eval_loss": 0.19026830792427063,
|
| 46 |
+
"eval_runtime": 66.2853,
|
| 47 |
+
"eval_samples_per_second": 7.543,
|
| 48 |
+
"eval_steps_per_second": 0.95,
|
| 49 |
+
"eval_wer": 0.18907776585531147,
|
| 50 |
+
"step": 1005
|
| 51 |
},
|
| 52 |
{
|
| 53 |
+
"epoch": 1.42,
|
| 54 |
+
"learning_rate": 0.0002665391969407266,
|
| 55 |
+
"loss": 0.1948,
|
|
|
|
|
|
|
|
|
|
| 56 |
"step": 1200
|
| 57 |
},
|
| 58 |
{
|
| 59 |
+
"epoch": 1.58,
|
| 60 |
+
"eval_cer": 0.04130569764347595,
|
| 61 |
+
"eval_loss": 0.1462544947862625,
|
| 62 |
+
"eval_runtime": 65.903,
|
| 63 |
+
"eval_samples_per_second": 7.587,
|
| 64 |
+
"eval_steps_per_second": 0.956,
|
| 65 |
+
"eval_wer": 0.13915400688993054,
|
| 66 |
+
"step": 1340
|
| 67 |
},
|
| 68 |
{
|
| 69 |
+
"epoch": 1.89,
|
| 70 |
+
"learning_rate": 0.00024741873804971315,
|
| 71 |
+
"loss": 0.1737,
|
|
|
|
|
|
|
|
|
|
| 72 |
"step": 1600
|
| 73 |
},
|
| 74 |
{
|
| 75 |
+
"epoch": 1.98,
|
| 76 |
+
"eval_cer": 0.040093433074125544,
|
| 77 |
+
"eval_loss": 0.1409013271331787,
|
| 78 |
+
"eval_runtime": 66.3053,
|
| 79 |
+
"eval_samples_per_second": 7.541,
|
| 80 |
+
"eval_steps_per_second": 0.95,
|
| 81 |
+
"eval_wer": 0.13599141582425028,
|
| 82 |
+
"step": 1675
|
| 83 |
},
|
| 84 |
{
|
| 85 |
+
"epoch": 2.36,
|
| 86 |
+
"learning_rate": 0.00022829827915869978,
|
| 87 |
+
"loss": 0.1466,
|
|
|
|
|
|
|
|
|
|
| 88 |
"step": 2000
|
| 89 |
},
|
| 90 |
{
|
| 91 |
+
"epoch": 2.37,
|
| 92 |
+
"eval_cer": 0.03887131269526822,
|
| 93 |
+
"eval_loss": 0.1429334431886673,
|
| 94 |
+
"eval_runtime": 65.9993,
|
| 95 |
+
"eval_samples_per_second": 7.576,
|
| 96 |
+
"eval_steps_per_second": 0.955,
|
| 97 |
+
"eval_wer": 0.13401479640820016,
|
| 98 |
+
"step": 2010
|
| 99 |
},
|
| 100 |
{
|
| 101 |
+
"epoch": 2.77,
|
| 102 |
+
"eval_cer": 0.03858549421956772,
|
| 103 |
+
"eval_loss": 0.1421019285917282,
|
| 104 |
+
"eval_runtime": 66.1016,
|
| 105 |
+
"eval_samples_per_second": 7.564,
|
| 106 |
+
"eval_steps_per_second": 0.953,
|
| 107 |
+
"eval_wer": 0.12678601682950247,
|
| 108 |
+
"step": 2345
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 2.83,
|
| 112 |
+
"learning_rate": 0.0002091778202676864,
|
| 113 |
+
"loss": 0.1378,
|
| 114 |
"step": 2400
|
| 115 |
},
|
| 116 |
{
|
| 117 |
+
"epoch": 3.16,
|
| 118 |
+
"eval_cer": 0.03703813212698225,
|
| 119 |
+
"eval_loss": 0.1354704052209854,
|
| 120 |
+
"eval_runtime": 65.9839,
|
| 121 |
+
"eval_samples_per_second": 7.578,
|
| 122 |
+
"eval_steps_per_second": 0.955,
|
| 123 |
+
"eval_wer": 0.12305867735923647,
|
| 124 |
+
"step": 2680
|
| 125 |
},
|
| 126 |
{
|
| 127 |
+
"epoch": 3.31,
|
| 128 |
+
"learning_rate": 0.00019005736137667304,
|
| 129 |
+
"loss": 0.1217,
|
|
|
|
|
|
|
|
|
|
| 130 |
"step": 2800
|
| 131 |
},
|
| 132 |
{
|
| 133 |
+
"epoch": 3.56,
|
| 134 |
+
"eval_cer": 0.034948700511516516,
|
| 135 |
+
"eval_loss": 0.13004331290721893,
|
| 136 |
+
"eval_runtime": 66.7534,
|
| 137 |
+
"eval_samples_per_second": 7.49,
|
| 138 |
+
"eval_steps_per_second": 0.944,
|
| 139 |
+
"eval_wer": 0.11176370926752131,
|
| 140 |
+
"step": 3015
|
| 141 |
},
|
| 142 |
{
|
| 143 |
+
"epoch": 3.78,
|
| 144 |
+
"learning_rate": 0.00017093690248565967,
|
| 145 |
+
"loss": 0.1121,
|
|
|
|
|
|
|
|
|
|
| 146 |
"step": 3200
|
| 147 |
},
|
| 148 |
{
|
| 149 |
+
"epoch": 3.95,
|
| 150 |
+
"eval_cer": 0.03565831879601431,
|
| 151 |
+
"eval_loss": 0.1295933872461319,
|
| 152 |
+
"eval_runtime": 67.056,
|
| 153 |
+
"eval_samples_per_second": 7.456,
|
| 154 |
+
"eval_steps_per_second": 0.94,
|
| 155 |
+
"eval_wer": 0.11729824363246173,
|
| 156 |
+
"step": 3350
|
| 157 |
},
|
| 158 |
{
|
| 159 |
+
"epoch": 4.25,
|
| 160 |
+
"learning_rate": 0.00015181644359464624,
|
| 161 |
+
"loss": 0.1038,
|
|
|
|
|
|
|
|
|
|
| 162 |
"step": 3600
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 4.35,
|
| 166 |
+
"eval_cer": 0.034948700511516516,
|
| 167 |
+
"eval_loss": 0.13280533254146576,
|
| 168 |
+
"eval_runtime": 66.5598,
|
| 169 |
+
"eval_samples_per_second": 7.512,
|
| 170 |
+
"eval_steps_per_second": 0.947,
|
| 171 |
+
"eval_wer": 0.11080363697972553,
|
| 172 |
+
"step": 3685
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 4.72,
|
| 176 |
+
"learning_rate": 0.00013269598470363287,
|
| 177 |
+
"loss": 0.0941,
|
| 178 |
+
"step": 4000
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 4.75,
|
| 182 |
+
"eval_cer": 0.035214807368203184,
|
| 183 |
+
"eval_loss": 0.12650151550769806,
|
| 184 |
+
"eval_runtime": 66.4767,
|
| 185 |
+
"eval_samples_per_second": 7.521,
|
| 186 |
+
"eval_steps_per_second": 0.948,
|
| 187 |
+
"eval_wer": 0.1124978821934828,
|
| 188 |
+
"step": 4020
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 5.14,
|
| 192 |
+
"eval_cer": 0.034012398608359695,
|
| 193 |
+
"eval_loss": 0.1327013224363327,
|
| 194 |
+
"eval_runtime": 66.3907,
|
| 195 |
+
"eval_samples_per_second": 7.531,
|
| 196 |
+
"eval_steps_per_second": 0.949,
|
| 197 |
+
"eval_wer": 0.10718924719037669,
|
| 198 |
+
"step": 4355
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 5.19,
|
| 202 |
+
"learning_rate": 0.0001135755258126195,
|
| 203 |
+
"loss": 0.0862,
|
| 204 |
+
"step": 4400
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 5.54,
|
| 208 |
+
"eval_cer": 0.0352246631777101,
|
| 209 |
+
"eval_loss": 0.1414576768875122,
|
| 210 |
+
"eval_runtime": 66.6897,
|
| 211 |
+
"eval_samples_per_second": 7.497,
|
| 212 |
+
"eval_steps_per_second": 0.945,
|
| 213 |
+
"eval_wer": 0.11294968091715141,
|
| 214 |
+
"step": 4690
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 5.67,
|
| 218 |
+
"learning_rate": 9.44550669216061e-05,
|
| 219 |
+
"loss": 0.0748,
|
| 220 |
+
"step": 4800
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 5.93,
|
| 224 |
+
"eval_cer": 0.03466288203581601,
|
| 225 |
+
"eval_loss": 0.13079801201820374,
|
| 226 |
+
"eval_runtime": 66.6475,
|
| 227 |
+
"eval_samples_per_second": 7.502,
|
| 228 |
+
"eval_steps_per_second": 0.945,
|
| 229 |
+
"eval_wer": 0.1101824137346812,
|
| 230 |
+
"step": 5025
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 6.14,
|
| 234 |
+
"learning_rate": 7.533460803059272e-05,
|
| 235 |
+
"loss": 0.0727,
|
| 236 |
+
"step": 5200
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 6.33,
|
| 240 |
+
"eval_cer": 0.03377585918019377,
|
| 241 |
+
"eval_loss": 0.1386057287454605,
|
| 242 |
+
"eval_runtime": 66.5005,
|
| 243 |
+
"eval_samples_per_second": 7.519,
|
| 244 |
+
"eval_steps_per_second": 0.947,
|
| 245 |
+
"eval_wer": 0.10470435421019936,
|
| 246 |
+
"step": 5360
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 6.61,
|
| 250 |
+
"learning_rate": 5.621414913957934e-05,
|
| 251 |
+
"loss": 0.0622,
|
| 252 |
+
"step": 5600
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"epoch": 6.72,
|
| 256 |
+
"eval_cer": 0.0333717709904103,
|
| 257 |
+
"eval_loss": 0.14488892257213593,
|
| 258 |
+
"eval_runtime": 66.3875,
|
| 259 |
+
"eval_samples_per_second": 7.532,
|
| 260 |
+
"eval_steps_per_second": 0.949,
|
| 261 |
+
"eval_wer": 0.10509967809340938,
|
| 262 |
+
"step": 5695
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 7.08,
|
| 266 |
+
"learning_rate": 3.7093690248565965e-05,
|
| 267 |
+
"loss": 0.0582,
|
| 268 |
+
"step": 6000
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 7.12,
|
| 272 |
+
"eval_cer": 0.03320422222879276,
|
| 273 |
+
"eval_loss": 0.14533209800720215,
|
| 274 |
+
"eval_runtime": 66.3474,
|
| 275 |
+
"eval_samples_per_second": 7.536,
|
| 276 |
+
"eval_steps_per_second": 0.95,
|
| 277 |
+
"eval_wer": 0.10493025357203366,
|
| 278 |
+
"step": 6030
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 7.51,
|
| 282 |
+
"eval_cer": 0.03320422222879276,
|
| 283 |
+
"eval_loss": 0.14391696453094482,
|
| 284 |
+
"eval_runtime": 66.4699,
|
| 285 |
+
"eval_samples_per_second": 7.522,
|
| 286 |
+
"eval_steps_per_second": 0.948,
|
| 287 |
+
"eval_wer": 0.10515615293386796,
|
| 288 |
+
"step": 6365
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 7.56,
|
| 292 |
+
"learning_rate": 1.8021032504780113e-05,
|
| 293 |
+
"loss": 0.0493,
|
| 294 |
+
"step": 6400
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 7.91,
|
| 298 |
+
"eval_cer": 0.03264244108689867,
|
| 299 |
+
"eval_loss": 0.14469173550605774,
|
| 300 |
+
"eval_runtime": 65.8617,
|
| 301 |
+
"eval_samples_per_second": 7.592,
|
| 302 |
+
"eval_steps_per_second": 0.957,
|
| 303 |
+
"eval_wer": 0.10267125995369063,
|
| 304 |
+
"step": 6700
|
| 305 |
}
|
| 306 |
],
|
| 307 |
+
"max_steps": 6776,
|
| 308 |
"num_train_epochs": 8,
|
| 309 |
+
"total_flos": 2.1224029808181802e+20,
|
| 310 |
"trial_name": null,
|
| 311 |
"trial_params": null
|
| 312 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:903a958bf893998150c6891a9f369853f085dd31bfb492b34bf63bb942ca1cc7
|
| 3 |
+
size 2991
|
vocab.json
CHANGED
|
@@ -1 +1,3 @@
|
|
| 1 |
-
{"
|
|
|
|
|
|
|
|
|
| 1 |
+
{" ": 0, "[PAD]": 1, "[UNK]": 2, "a": 3, "b": 4, "c": 5, "d": 6, "e": 7, "f": 8, "g": 9, "h": 10, "i": 11, "j": 12, "k": 13, "l": 14, "m": 15, "n": 16, "o": 17, "p": 18, "q": 19, "r": 20, "s": 21, "t": 22, "u": 23, "v": 24, "w": 25, "x": 26, "y": 27, "z": 28, "\u00e4": 29, "\u00fc": 30, "\u0107": 31, "\u010d": 32, "\u0111": 33, "\u0161": 34, "\u017e": 35, "\u04e7": 36,
|
| 2 |
+
"1":37, "2": 38,"3": 39,"4": 40,"5": 41,"6": 42,"7": 43,"8": 44,"9": 45,"0": 46,
|
| 3 |
+
".": 47 }
|