Version 1
Browse files- config.json +76 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- scheduler.pt +3 -0
- trainer_state.json +510 -0
- training_args.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "facebook/wav2vec2-large-xlsr-53",
|
| 3 |
+
"activation_dropout": 0.0,
|
| 4 |
+
"apply_spec_augment": true,
|
| 5 |
+
"architectures": [
|
| 6 |
+
"Wav2Vec2ForCTC"
|
| 7 |
+
],
|
| 8 |
+
"attention_dropout": 0.1,
|
| 9 |
+
"bos_token_id": 1,
|
| 10 |
+
"conv_bias": true,
|
| 11 |
+
"conv_dim": [
|
| 12 |
+
512,
|
| 13 |
+
512,
|
| 14 |
+
512,
|
| 15 |
+
512,
|
| 16 |
+
512,
|
| 17 |
+
512,
|
| 18 |
+
512
|
| 19 |
+
],
|
| 20 |
+
"conv_kernel": [
|
| 21 |
+
10,
|
| 22 |
+
3,
|
| 23 |
+
3,
|
| 24 |
+
3,
|
| 25 |
+
3,
|
| 26 |
+
2,
|
| 27 |
+
2
|
| 28 |
+
],
|
| 29 |
+
"conv_stride": [
|
| 30 |
+
5,
|
| 31 |
+
2,
|
| 32 |
+
2,
|
| 33 |
+
2,
|
| 34 |
+
2,
|
| 35 |
+
2,
|
| 36 |
+
2
|
| 37 |
+
],
|
| 38 |
+
"ctc_loss_reduction": "mean",
|
| 39 |
+
"ctc_zero_infinity": false,
|
| 40 |
+
"do_stable_layer_norm": true,
|
| 41 |
+
"eos_token_id": 2,
|
| 42 |
+
"feat_extract_activation": "gelu",
|
| 43 |
+
"feat_extract_dropout": 0.0,
|
| 44 |
+
"feat_extract_norm": "layer",
|
| 45 |
+
"feat_proj_dropout": 0.0,
|
| 46 |
+
"final_dropout": 0.0,
|
| 47 |
+
"gradient_checkpointing": true,
|
| 48 |
+
"hidden_act": "gelu",
|
| 49 |
+
"hidden_dropout": 0.1,
|
| 50 |
+
"hidden_size": 1024,
|
| 51 |
+
"initializer_range": 0.02,
|
| 52 |
+
"intermediate_size": 4096,
|
| 53 |
+
"layer_norm_eps": 1e-05,
|
| 54 |
+
"layerdrop": 0.1,
|
| 55 |
+
"mask_channel_length": 10,
|
| 56 |
+
"mask_channel_min_space": 1,
|
| 57 |
+
"mask_channel_other": 0.0,
|
| 58 |
+
"mask_channel_prob": 0.0,
|
| 59 |
+
"mask_channel_selection": "static",
|
| 60 |
+
"mask_feature_length": 10,
|
| 61 |
+
"mask_feature_prob": 0.0,
|
| 62 |
+
"mask_time_length": 10,
|
| 63 |
+
"mask_time_min_space": 1,
|
| 64 |
+
"mask_time_other": 0.0,
|
| 65 |
+
"mask_time_prob": 0.05,
|
| 66 |
+
"mask_time_selection": "static",
|
| 67 |
+
"model_type": "wav2vec2",
|
| 68 |
+
"num_attention_heads": 16,
|
| 69 |
+
"num_conv_pos_embedding_groups": 16,
|
| 70 |
+
"num_conv_pos_embeddings": 128,
|
| 71 |
+
"num_feat_extract_layers": 7,
|
| 72 |
+
"num_hidden_layers": 24,
|
| 73 |
+
"pad_token_id": 41,
|
| 74 |
+
"transformers_version": "4.4.0.dev0",
|
| 75 |
+
"vocab_size": 42
|
| 76 |
+
}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:39823d9bd704e711675ae48109d4cc2d266d58e12f8227be95133228c697e396
|
| 3 |
+
size 2490422279
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a28492891790caee8eda88933aded7a8bd21ed71bb97fcafdace6e675641c1be
|
| 3 |
+
size 1262106007
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6ecc9e980790d5f77be705a4f5cde16f657651bb91364b496dd824703d969308
|
| 3 |
+
size 623
|
trainer_state.json
ADDED
|
@@ -0,0 +1,510 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 8.104816696762272,
|
| 5 |
+
"global_step": 193000,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.21,
|
| 12 |
+
"learning_rate": 0.0002955626928115623,
|
| 13 |
+
"loss": 1.1705,
|
| 14 |
+
"step": 5000
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.21,
|
| 18 |
+
"eval_loss": 0.22145646810531616,
|
| 19 |
+
"eval_runtime": 5082.7114,
|
| 20 |
+
"eval_samples_per_second": 4.02,
|
| 21 |
+
"step": 5000
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.42,
|
| 25 |
+
"learning_rate": 0.0002892236825423657,
|
| 26 |
+
"loss": 0.2914,
|
| 27 |
+
"step": 10000
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.42,
|
| 31 |
+
"eval_loss": 0.19062571227550507,
|
| 32 |
+
"eval_runtime": 5086.3406,
|
| 33 |
+
"eval_samples_per_second": 4.018,
|
| 34 |
+
"step": 10000
|
| 35 |
+
},
|
| 36 |
+
{
|
| 37 |
+
"epoch": 0.63,
|
| 38 |
+
"learning_rate": 0.00028288467227316906,
|
| 39 |
+
"loss": 0.2617,
|
| 40 |
+
"step": 15000
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"epoch": 0.63,
|
| 44 |
+
"eval_loss": 0.1784171611070633,
|
| 45 |
+
"eval_runtime": 4895.8348,
|
| 46 |
+
"eval_samples_per_second": 4.174,
|
| 47 |
+
"step": 15000
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"epoch": 0.84,
|
| 51 |
+
"learning_rate": 0.0002765456620039724,
|
| 52 |
+
"loss": 0.2449,
|
| 53 |
+
"step": 20000
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"epoch": 0.84,
|
| 57 |
+
"eval_loss": 0.16641439497470856,
|
| 58 |
+
"eval_runtime": 4945.3495,
|
| 59 |
+
"eval_samples_per_second": 4.132,
|
| 60 |
+
"step": 20000
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 1.05,
|
| 64 |
+
"learning_rate": 0.0002702066517347758,
|
| 65 |
+
"loss": 0.2264,
|
| 66 |
+
"step": 25000
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 1.05,
|
| 70 |
+
"eval_loss": 0.15650227665901184,
|
| 71 |
+
"eval_runtime": 4999.732,
|
| 72 |
+
"eval_samples_per_second": 4.087,
|
| 73 |
+
"step": 25000
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 1.26,
|
| 77 |
+
"learning_rate": 0.00026386764146557915,
|
| 78 |
+
"loss": 0.2093,
|
| 79 |
+
"step": 30000
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 1.26,
|
| 83 |
+
"eval_loss": 0.15184776484966278,
|
| 84 |
+
"eval_runtime": 4877.0685,
|
| 85 |
+
"eval_samples_per_second": 4.19,
|
| 86 |
+
"step": 30000
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 1.47,
|
| 90 |
+
"learning_rate": 0.0002575286311963825,
|
| 91 |
+
"loss": 0.2003,
|
| 92 |
+
"step": 35000
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 1.47,
|
| 96 |
+
"eval_loss": 0.14190027117729187,
|
| 97 |
+
"eval_runtime": 4879.5538,
|
| 98 |
+
"eval_samples_per_second": 4.188,
|
| 99 |
+
"step": 35000
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 1.68,
|
| 103 |
+
"learning_rate": 0.0002511896209271859,
|
| 104 |
+
"loss": 0.1962,
|
| 105 |
+
"step": 40000
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 1.68,
|
| 109 |
+
"eval_loss": 0.14596430957317352,
|
| 110 |
+
"eval_runtime": 4860.8654,
|
| 111 |
+
"eval_samples_per_second": 4.204,
|
| 112 |
+
"step": 40000
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"epoch": 1.89,
|
| 116 |
+
"learning_rate": 0.00024485061065798925,
|
| 117 |
+
"loss": 0.19,
|
| 118 |
+
"step": 45000
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"epoch": 1.89,
|
| 122 |
+
"eval_loss": 0.13479308784008026,
|
| 123 |
+
"eval_runtime": 4872.4496,
|
| 124 |
+
"eval_samples_per_second": 4.194,
|
| 125 |
+
"step": 45000
|
| 126 |
+
},
|
| 127 |
+
{
|
| 128 |
+
"epoch": 2.1,
|
| 129 |
+
"learning_rate": 0.00023851160038879262,
|
| 130 |
+
"loss": 0.1769,
|
| 131 |
+
"step": 50000
|
| 132 |
+
},
|
| 133 |
+
{
|
| 134 |
+
"epoch": 2.1,
|
| 135 |
+
"eval_loss": 0.13018357753753662,
|
| 136 |
+
"eval_runtime": 4872.3296,
|
| 137 |
+
"eval_samples_per_second": 4.194,
|
| 138 |
+
"step": 50000
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 2.31,
|
| 142 |
+
"learning_rate": 0.00023217259011959596,
|
| 143 |
+
"loss": 0.1674,
|
| 144 |
+
"step": 55000
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 2.31,
|
| 148 |
+
"eval_loss": 0.1303720772266388,
|
| 149 |
+
"eval_runtime": 4874.4649,
|
| 150 |
+
"eval_samples_per_second": 4.192,
|
| 151 |
+
"step": 55000
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 2.52,
|
| 155 |
+
"learning_rate": 0.00022583357985039935,
|
| 156 |
+
"loss": 0.1655,
|
| 157 |
+
"step": 60000
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 2.52,
|
| 161 |
+
"eval_loss": 0.12317115068435669,
|
| 162 |
+
"eval_runtime": 4882.2049,
|
| 163 |
+
"eval_samples_per_second": 4.186,
|
| 164 |
+
"step": 60000
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 2.73,
|
| 168 |
+
"learning_rate": 0.00021949456958120271,
|
| 169 |
+
"loss": 0.1608,
|
| 170 |
+
"step": 65000
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 2.73,
|
| 174 |
+
"eval_loss": 0.12056649476289749,
|
| 175 |
+
"eval_runtime": 4877.3831,
|
| 176 |
+
"eval_samples_per_second": 4.19,
|
| 177 |
+
"step": 65000
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 2.94,
|
| 181 |
+
"learning_rate": 0.00021315555931200605,
|
| 182 |
+
"loss": 0.1565,
|
| 183 |
+
"step": 70000
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 2.94,
|
| 187 |
+
"eval_loss": 0.11486475169658661,
|
| 188 |
+
"eval_runtime": 4876.7317,
|
| 189 |
+
"eval_samples_per_second": 4.19,
|
| 190 |
+
"step": 70000
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 3.15,
|
| 194 |
+
"learning_rate": 0.00020681654904280945,
|
| 195 |
+
"loss": 0.146,
|
| 196 |
+
"step": 75000
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 3.15,
|
| 200 |
+
"eval_loss": 0.11829441785812378,
|
| 201 |
+
"eval_runtime": 4833.5153,
|
| 202 |
+
"eval_samples_per_second": 4.228,
|
| 203 |
+
"step": 75000
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 3.36,
|
| 207 |
+
"learning_rate": 0.00020047753877361279,
|
| 208 |
+
"loss": 0.1403,
|
| 209 |
+
"step": 80000
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 3.36,
|
| 213 |
+
"eval_loss": 0.11143175512552261,
|
| 214 |
+
"eval_runtime": 4853.9814,
|
| 215 |
+
"eval_samples_per_second": 4.21,
|
| 216 |
+
"step": 80000
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 3.57,
|
| 220 |
+
"learning_rate": 0.00019413852850441618,
|
| 221 |
+
"loss": 0.1376,
|
| 222 |
+
"step": 85000
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 3.57,
|
| 226 |
+
"eval_loss": 0.11027190089225769,
|
| 227 |
+
"eval_runtime": 4858.6043,
|
| 228 |
+
"eval_samples_per_second": 4.206,
|
| 229 |
+
"step": 85000
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"epoch": 3.78,
|
| 233 |
+
"learning_rate": 0.00018779951823521952,
|
| 234 |
+
"loss": 0.1337,
|
| 235 |
+
"step": 90000
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 3.78,
|
| 239 |
+
"eval_loss": 0.10872453451156616,
|
| 240 |
+
"eval_runtime": 4864.6388,
|
| 241 |
+
"eval_samples_per_second": 4.201,
|
| 242 |
+
"step": 90000
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 3.99,
|
| 246 |
+
"learning_rate": 0.00018146050796602288,
|
| 247 |
+
"loss": 0.1325,
|
| 248 |
+
"step": 95000
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 3.99,
|
| 252 |
+
"eval_loss": 0.10718829929828644,
|
| 253 |
+
"eval_runtime": 4921.9134,
|
| 254 |
+
"eval_samples_per_second": 4.152,
|
| 255 |
+
"step": 95000
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 4.2,
|
| 259 |
+
"learning_rate": 0.00017512149769682625,
|
| 260 |
+
"loss": 0.1195,
|
| 261 |
+
"step": 100000
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 4.2,
|
| 265 |
+
"eval_loss": 0.10430513322353363,
|
| 266 |
+
"eval_runtime": 4864.6263,
|
| 267 |
+
"eval_samples_per_second": 4.201,
|
| 268 |
+
"step": 100000
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 4.41,
|
| 272 |
+
"learning_rate": 0.00016878248742762961,
|
| 273 |
+
"loss": 0.118,
|
| 274 |
+
"step": 105000
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"epoch": 4.41,
|
| 278 |
+
"eval_loss": 0.1070966124534607,
|
| 279 |
+
"eval_runtime": 4879.2783,
|
| 280 |
+
"eval_samples_per_second": 4.188,
|
| 281 |
+
"step": 105000
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 4.62,
|
| 285 |
+
"learning_rate": 0.00016244347715843295,
|
| 286 |
+
"loss": 0.1173,
|
| 287 |
+
"step": 110000
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 4.62,
|
| 291 |
+
"eval_loss": 0.10433077067136765,
|
| 292 |
+
"eval_runtime": 4876.4984,
|
| 293 |
+
"eval_samples_per_second": 4.191,
|
| 294 |
+
"step": 110000
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 4.83,
|
| 298 |
+
"learning_rate": 0.00015610446688923635,
|
| 299 |
+
"loss": 0.115,
|
| 300 |
+
"step": 115000
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 4.83,
|
| 304 |
+
"eval_loss": 0.09682977199554443,
|
| 305 |
+
"eval_runtime": 4893.4652,
|
| 306 |
+
"eval_samples_per_second": 4.176,
|
| 307 |
+
"step": 115000
|
| 308 |
+
},
|
| 309 |
+
{
|
| 310 |
+
"epoch": 5.04,
|
| 311 |
+
"learning_rate": 0.0001497654566200397,
|
| 312 |
+
"loss": 0.1102,
|
| 313 |
+
"step": 120000
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"epoch": 5.04,
|
| 317 |
+
"eval_loss": 0.09630288183689117,
|
| 318 |
+
"eval_runtime": 4914.2049,
|
| 319 |
+
"eval_samples_per_second": 4.158,
|
| 320 |
+
"step": 120000
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 5.25,
|
| 324 |
+
"learning_rate": 0.00014342644635084308,
|
| 325 |
+
"loss": 0.1019,
|
| 326 |
+
"step": 125000
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 5.25,
|
| 330 |
+
"eval_loss": 0.0918075293302536,
|
| 331 |
+
"eval_runtime": 4893.9499,
|
| 332 |
+
"eval_samples_per_second": 4.176,
|
| 333 |
+
"step": 125000
|
| 334 |
+
},
|
| 335 |
+
{
|
| 336 |
+
"epoch": 5.46,
|
| 337 |
+
"learning_rate": 0.00013708743608164644,
|
| 338 |
+
"loss": 0.1014,
|
| 339 |
+
"step": 130000
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 5.46,
|
| 343 |
+
"eval_loss": 0.09067174792289734,
|
| 344 |
+
"eval_runtime": 4891.4795,
|
| 345 |
+
"eval_samples_per_second": 4.178,
|
| 346 |
+
"step": 130000
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 5.67,
|
| 350 |
+
"learning_rate": 0.0001307484258124498,
|
| 351 |
+
"loss": 0.1,
|
| 352 |
+
"step": 135000
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 5.67,
|
| 356 |
+
"eval_loss": 0.08851899951696396,
|
| 357 |
+
"eval_runtime": 4884.1688,
|
| 358 |
+
"eval_samples_per_second": 4.184,
|
| 359 |
+
"step": 135000
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 5.88,
|
| 363 |
+
"learning_rate": 0.00012440941554325318,
|
| 364 |
+
"loss": 0.0971,
|
| 365 |
+
"step": 140000
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 5.88,
|
| 369 |
+
"eval_loss": 0.08720648288726807,
|
| 370 |
+
"eval_runtime": 4896.4597,
|
| 371 |
+
"eval_samples_per_second": 4.173,
|
| 372 |
+
"step": 140000
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 6.09,
|
| 376 |
+
"learning_rate": 0.00011807040527405654,
|
| 377 |
+
"loss": 0.0921,
|
| 378 |
+
"step": 145000
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 6.09,
|
| 382 |
+
"eval_loss": 0.08666499704122543,
|
| 383 |
+
"eval_runtime": 5117.0953,
|
| 384 |
+
"eval_samples_per_second": 3.993,
|
| 385 |
+
"step": 145000
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 6.3,
|
| 389 |
+
"learning_rate": 0.00011173139500485991,
|
| 390 |
+
"loss": 0.0884,
|
| 391 |
+
"step": 150000
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 6.3,
|
| 395 |
+
"eval_loss": 0.0831904485821724,
|
| 396 |
+
"eval_runtime": 4879.0536,
|
| 397 |
+
"eval_samples_per_second": 4.188,
|
| 398 |
+
"step": 150000
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 6.51,
|
| 402 |
+
"learning_rate": 0.00010539238473566326,
|
| 403 |
+
"loss": 0.0864,
|
| 404 |
+
"step": 155000
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 6.51,
|
| 408 |
+
"eval_loss": 0.08337873965501785,
|
| 409 |
+
"eval_runtime": 4900.7475,
|
| 410 |
+
"eval_samples_per_second": 4.17,
|
| 411 |
+
"step": 155000
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 6.72,
|
| 415 |
+
"learning_rate": 9.905337446646663e-05,
|
| 416 |
+
"loss": 0.0861,
|
| 417 |
+
"step": 160000
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 6.72,
|
| 421 |
+
"eval_loss": 0.08155979961156845,
|
| 422 |
+
"eval_runtime": 4919.8246,
|
| 423 |
+
"eval_samples_per_second": 4.154,
|
| 424 |
+
"step": 160000
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 6.93,
|
| 428 |
+
"learning_rate": 9.271436419726999e-05,
|
| 429 |
+
"loss": 0.083,
|
| 430 |
+
"step": 165000
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 6.93,
|
| 434 |
+
"eval_loss": 0.08167865127325058,
|
| 435 |
+
"eval_runtime": 4921.4971,
|
| 436 |
+
"eval_samples_per_second": 4.152,
|
| 437 |
+
"step": 165000
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 7.14,
|
| 441 |
+
"learning_rate": 8.637535392807336e-05,
|
| 442 |
+
"loss": 0.0769,
|
| 443 |
+
"step": 170000
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 7.14,
|
| 447 |
+
"eval_loss": 0.0775604099035263,
|
| 448 |
+
"eval_runtime": 4893.4221,
|
| 449 |
+
"eval_samples_per_second": 4.176,
|
| 450 |
+
"step": 170000
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 7.35,
|
| 454 |
+
"learning_rate": 8.003634365887672e-05,
|
| 455 |
+
"loss": 0.0749,
|
| 456 |
+
"step": 175000
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 7.35,
|
| 460 |
+
"eval_loss": 0.07773936539888382,
|
| 461 |
+
"eval_runtime": 4914.0163,
|
| 462 |
+
"eval_samples_per_second": 4.159,
|
| 463 |
+
"step": 175000
|
| 464 |
+
},
|
| 465 |
+
{
|
| 466 |
+
"epoch": 7.56,
|
| 467 |
+
"learning_rate": 7.369733338968009e-05,
|
| 468 |
+
"loss": 0.0735,
|
| 469 |
+
"step": 180000
|
| 470 |
+
},
|
| 471 |
+
{
|
| 472 |
+
"epoch": 7.56,
|
| 473 |
+
"eval_loss": 0.07420430332422256,
|
| 474 |
+
"eval_runtime": 4934.0827,
|
| 475 |
+
"eval_samples_per_second": 4.142,
|
| 476 |
+
"step": 180000
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 7.77,
|
| 480 |
+
"learning_rate": 6.735832312048346e-05,
|
| 481 |
+
"loss": 0.0715,
|
| 482 |
+
"step": 185000
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 7.77,
|
| 486 |
+
"eval_loss": 0.07269106060266495,
|
| 487 |
+
"eval_runtime": 4925.1046,
|
| 488 |
+
"eval_samples_per_second": 4.149,
|
| 489 |
+
"step": 185000
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 7.98,
|
| 493 |
+
"learning_rate": 6.1019312851286814e-05,
|
| 494 |
+
"loss": 0.0702,
|
| 495 |
+
"step": 190000
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 7.98,
|
| 499 |
+
"eval_loss": 0.07183075696229935,
|
| 500 |
+
"eval_runtime": 4948.9933,
|
| 501 |
+
"eval_samples_per_second": 4.129,
|
| 502 |
+
"step": 190000
|
| 503 |
+
}
|
| 504 |
+
],
|
| 505 |
+
"max_steps": 238130,
|
| 506 |
+
"num_train_epochs": 10,
|
| 507 |
+
"total_flos": 5.387421756388246e+20,
|
| 508 |
+
"trial_name": null,
|
| 509 |
+
"trial_params": null
|
| 510 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ebe791c5dd04e87cd6dce636d0245fc7269b2260047be0dafb37e8e4f5eb0b6a
|
| 3 |
+
size 2287
|