Commit
•
de9fe44
1
Parent(s):
e3ba77e
Add model
Browse files- config.json +146 -0
- pytorch_model.bin +3 -0
- trainer_state.json +2943 -0
- training_args.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1,146 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "facebook/wav2vec2-large-xlsr-53",
|
| 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 |
+
"Wav2Vec2ForMultilabelSequenceClassification"
|
| 10 |
+
],
|
| 11 |
+
"attention_dropout": 0.1,
|
| 12 |
+
"bos_token_id": 1,
|
| 13 |
+
"classifier_proj_size": 256,
|
| 14 |
+
"codevector_dim": 768,
|
| 15 |
+
"contrastive_logits_temperature": 0.1,
|
| 16 |
+
"conv_bias": true,
|
| 17 |
+
"conv_dim": [
|
| 18 |
+
512,
|
| 19 |
+
512,
|
| 20 |
+
512,
|
| 21 |
+
512,
|
| 22 |
+
512,
|
| 23 |
+
512,
|
| 24 |
+
512
|
| 25 |
+
],
|
| 26 |
+
"conv_kernel": [
|
| 27 |
+
10,
|
| 28 |
+
3,
|
| 29 |
+
3,
|
| 30 |
+
3,
|
| 31 |
+
3,
|
| 32 |
+
2,
|
| 33 |
+
2
|
| 34 |
+
],
|
| 35 |
+
"conv_stride": [
|
| 36 |
+
5,
|
| 37 |
+
2,
|
| 38 |
+
2,
|
| 39 |
+
2,
|
| 40 |
+
2,
|
| 41 |
+
2,
|
| 42 |
+
2
|
| 43 |
+
],
|
| 44 |
+
"ctc_loss_reduction": "sum",
|
| 45 |
+
"ctc_zero_infinity": false,
|
| 46 |
+
"diversity_loss_weight": 0.1,
|
| 47 |
+
"do_stable_layer_norm": true,
|
| 48 |
+
"eos_token_id": 2,
|
| 49 |
+
"feat_extract_activation": "gelu",
|
| 50 |
+
"feat_extract_dropout": 0.0,
|
| 51 |
+
"feat_extract_norm": "layer",
|
| 52 |
+
"feat_proj_dropout": 0.1,
|
| 53 |
+
"feat_quantizer_dropout": 0.0,
|
| 54 |
+
"final_dropout": 0.0,
|
| 55 |
+
"gradient_checkpointing": false,
|
| 56 |
+
"hidden_act": "gelu",
|
| 57 |
+
"hidden_dropout": 0.1,
|
| 58 |
+
"hidden_size": 1024,
|
| 59 |
+
"id2label": {
|
| 60 |
+
"0": "LABEL_0",
|
| 61 |
+
"1": "LABEL_1",
|
| 62 |
+
"2": "LABEL_2",
|
| 63 |
+
"3": "LABEL_3",
|
| 64 |
+
"4": "LABEL_4",
|
| 65 |
+
"5": "LABEL_5",
|
| 66 |
+
"6": "LABEL_6",
|
| 67 |
+
"7": "LABEL_7",
|
| 68 |
+
"8": "LABEL_8",
|
| 69 |
+
"9": "LABEL_9",
|
| 70 |
+
"10": "LABEL_10",
|
| 71 |
+
"11": "LABEL_11",
|
| 72 |
+
"12": "LABEL_12"
|
| 73 |
+
},
|
| 74 |
+
"initializer_range": 0.02,
|
| 75 |
+
"intermediate_size": 4096,
|
| 76 |
+
"label2id": {
|
| 77 |
+
"LABEL_0": 0,
|
| 78 |
+
"LABEL_1": 1,
|
| 79 |
+
"LABEL_10": 10,
|
| 80 |
+
"LABEL_11": 11,
|
| 81 |
+
"LABEL_12": 12,
|
| 82 |
+
"LABEL_2": 2,
|
| 83 |
+
"LABEL_3": 3,
|
| 84 |
+
"LABEL_4": 4,
|
| 85 |
+
"LABEL_5": 5,
|
| 86 |
+
"LABEL_6": 6,
|
| 87 |
+
"LABEL_7": 7,
|
| 88 |
+
"LABEL_8": 8,
|
| 89 |
+
"LABEL_9": 9
|
| 90 |
+
},
|
| 91 |
+
"layer_norm_eps": 1e-05,
|
| 92 |
+
"layerdrop": 0.1,
|
| 93 |
+
"mask_channel_length": 10,
|
| 94 |
+
"mask_channel_min_space": 1,
|
| 95 |
+
"mask_channel_other": 0.0,
|
| 96 |
+
"mask_channel_prob": 0.0,
|
| 97 |
+
"mask_channel_selection": "static",
|
| 98 |
+
"mask_feature_length": 10,
|
| 99 |
+
"mask_feature_min_masks": 0,
|
| 100 |
+
"mask_feature_prob": 0.0,
|
| 101 |
+
"mask_time_length": 10,
|
| 102 |
+
"mask_time_min_masks": 2,
|
| 103 |
+
"mask_time_min_space": 1,
|
| 104 |
+
"mask_time_other": 0.0,
|
| 105 |
+
"mask_time_prob": 0.075,
|
| 106 |
+
"mask_time_selection": "static",
|
| 107 |
+
"model_type": "wav2vec2",
|
| 108 |
+
"num_adapter_layers": 3,
|
| 109 |
+
"num_attention_heads": 16,
|
| 110 |
+
"num_codevector_groups": 2,
|
| 111 |
+
"num_codevectors_per_group": 320,
|
| 112 |
+
"num_conv_pos_embedding_groups": 16,
|
| 113 |
+
"num_conv_pos_embeddings": 128,
|
| 114 |
+
"num_feat_extract_layers": 7,
|
| 115 |
+
"num_hidden_layers": 24,
|
| 116 |
+
"num_negatives": 100,
|
| 117 |
+
"output_hidden_size": 1024,
|
| 118 |
+
"pad_token_id": 0,
|
| 119 |
+
"proj_codevector_dim": 768,
|
| 120 |
+
"tdnn_dilation": [
|
| 121 |
+
1,
|
| 122 |
+
2,
|
| 123 |
+
3,
|
| 124 |
+
1,
|
| 125 |
+
1
|
| 126 |
+
],
|
| 127 |
+
"tdnn_dim": [
|
| 128 |
+
512,
|
| 129 |
+
512,
|
| 130 |
+
512,
|
| 131 |
+
512,
|
| 132 |
+
1500
|
| 133 |
+
],
|
| 134 |
+
"tdnn_kernel": [
|
| 135 |
+
5,
|
| 136 |
+
3,
|
| 137 |
+
3,
|
| 138 |
+
1,
|
| 139 |
+
1
|
| 140 |
+
],
|
| 141 |
+
"torch_dtype": "float32",
|
| 142 |
+
"transformers_version": "4.25.1",
|
| 143 |
+
"use_weighted_layer_sum": false,
|
| 144 |
+
"vocab_size": 32,
|
| 145 |
+
"xvector_output_dim": 512
|
| 146 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:95e9dd3d466dafaa17641e486841bc0155b0b51a316cb41d9603ea9064b9325e
|
| 3 |
+
size 1262965429
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2943 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.029699677601456642,
|
| 3 |
+
"best_model_checkpoint": "./save/eng-zho_elderly_facebook/wav2vec2-large-xlsr-53/checkpoint-2496",
|
| 4 |
+
"epoch": 22.0,
|
| 5 |
+
"global_step": 4576,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.05,
|
| 12 |
+
"learning_rate": 4.997596153846154e-05,
|
| 13 |
+
"loss": 0.0533,
|
| 14 |
+
"step": 10
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.1,
|
| 18 |
+
"learning_rate": 4.995192307692308e-05,
|
| 19 |
+
"loss": 0.0523,
|
| 20 |
+
"step": 20
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.14,
|
| 24 |
+
"learning_rate": 4.992788461538462e-05,
|
| 25 |
+
"loss": 0.0517,
|
| 26 |
+
"step": 30
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.19,
|
| 30 |
+
"learning_rate": 4.9906250000000004e-05,
|
| 31 |
+
"loss": 0.0497,
|
| 32 |
+
"step": 40
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.24,
|
| 36 |
+
"learning_rate": 4.988221153846154e-05,
|
| 37 |
+
"loss": 0.0471,
|
| 38 |
+
"step": 50
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.29,
|
| 42 |
+
"learning_rate": 4.985817307692308e-05,
|
| 43 |
+
"loss": 0.0442,
|
| 44 |
+
"step": 60
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.34,
|
| 48 |
+
"learning_rate": 4.983413461538462e-05,
|
| 49 |
+
"loss": 0.0416,
|
| 50 |
+
"step": 70
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.38,
|
| 54 |
+
"learning_rate": 4.9810096153846156e-05,
|
| 55 |
+
"loss": 0.0393,
|
| 56 |
+
"step": 80
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.43,
|
| 60 |
+
"learning_rate": 4.97860576923077e-05,
|
| 61 |
+
"loss": 0.0424,
|
| 62 |
+
"step": 90
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.48,
|
| 66 |
+
"learning_rate": 4.9762019230769235e-05,
|
| 67 |
+
"loss": 0.0414,
|
| 68 |
+
"step": 100
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.53,
|
| 72 |
+
"learning_rate": 4.973798076923077e-05,
|
| 73 |
+
"loss": 0.0394,
|
| 74 |
+
"step": 110
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.58,
|
| 78 |
+
"learning_rate": 4.9713942307692314e-05,
|
| 79 |
+
"loss": 0.0389,
|
| 80 |
+
"step": 120
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.62,
|
| 84 |
+
"learning_rate": 4.968990384615385e-05,
|
| 85 |
+
"loss": 0.0427,
|
| 86 |
+
"step": 130
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.67,
|
| 90 |
+
"learning_rate": 4.966586538461539e-05,
|
| 91 |
+
"loss": 0.0421,
|
| 92 |
+
"step": 140
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.72,
|
| 96 |
+
"learning_rate": 4.964182692307692e-05,
|
| 97 |
+
"loss": 0.0402,
|
| 98 |
+
"step": 150
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.77,
|
| 102 |
+
"learning_rate": 4.961778846153846e-05,
|
| 103 |
+
"loss": 0.0412,
|
| 104 |
+
"step": 160
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.82,
|
| 108 |
+
"learning_rate": 4.959375e-05,
|
| 109 |
+
"loss": 0.0404,
|
| 110 |
+
"step": 170
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.87,
|
| 114 |
+
"learning_rate": 4.956971153846154e-05,
|
| 115 |
+
"loss": 0.0408,
|
| 116 |
+
"step": 180
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.91,
|
| 120 |
+
"learning_rate": 4.9545673076923075e-05,
|
| 121 |
+
"loss": 0.0391,
|
| 122 |
+
"step": 190
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.96,
|
| 126 |
+
"learning_rate": 4.952163461538462e-05,
|
| 127 |
+
"loss": 0.0378,
|
| 128 |
+
"step": 200
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 1.0,
|
| 132 |
+
"eval_loss": 0.03970440477132797,
|
| 133 |
+
"eval_runtime": 37.2853,
|
| 134 |
+
"eval_samples_per_second": 17.406,
|
| 135 |
+
"eval_steps_per_second": 2.199,
|
| 136 |
+
"step": 208
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 1.01,
|
| 140 |
+
"learning_rate": 4.9497596153846155e-05,
|
| 141 |
+
"loss": 0.0407,
|
| 142 |
+
"step": 210
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 1.06,
|
| 146 |
+
"learning_rate": 4.947355769230769e-05,
|
| 147 |
+
"loss": 0.0404,
|
| 148 |
+
"step": 220
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"epoch": 1.11,
|
| 152 |
+
"learning_rate": 4.9449519230769234e-05,
|
| 153 |
+
"loss": 0.0406,
|
| 154 |
+
"step": 230
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"epoch": 1.15,
|
| 158 |
+
"learning_rate": 4.942548076923077e-05,
|
| 159 |
+
"loss": 0.0377,
|
| 160 |
+
"step": 240
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 1.2,
|
| 164 |
+
"learning_rate": 4.940144230769231e-05,
|
| 165 |
+
"loss": 0.0401,
|
| 166 |
+
"step": 250
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 1.25,
|
| 170 |
+
"learning_rate": 4.937740384615385e-05,
|
| 171 |
+
"loss": 0.0391,
|
| 172 |
+
"step": 260
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 1.3,
|
| 176 |
+
"learning_rate": 4.9353365384615386e-05,
|
| 177 |
+
"loss": 0.042,
|
| 178 |
+
"step": 270
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 1.35,
|
| 182 |
+
"learning_rate": 4.932932692307692e-05,
|
| 183 |
+
"loss": 0.0371,
|
| 184 |
+
"step": 280
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 1.39,
|
| 188 |
+
"learning_rate": 4.9305288461538466e-05,
|
| 189 |
+
"loss": 0.0405,
|
| 190 |
+
"step": 290
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"epoch": 1.44,
|
| 194 |
+
"learning_rate": 4.928125e-05,
|
| 195 |
+
"loss": 0.038,
|
| 196 |
+
"step": 300
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 1.49,
|
| 200 |
+
"learning_rate": 4.925721153846154e-05,
|
| 201 |
+
"loss": 0.0384,
|
| 202 |
+
"step": 310
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 1.54,
|
| 206 |
+
"learning_rate": 4.923317307692308e-05,
|
| 207 |
+
"loss": 0.0398,
|
| 208 |
+
"step": 320
|
| 209 |
+
},
|
| 210 |
+
{
|
| 211 |
+
"epoch": 1.59,
|
| 212 |
+
"learning_rate": 4.920913461538462e-05,
|
| 213 |
+
"loss": 0.037,
|
| 214 |
+
"step": 330
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 1.63,
|
| 218 |
+
"learning_rate": 4.9185096153846154e-05,
|
| 219 |
+
"loss": 0.0389,
|
| 220 |
+
"step": 340
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 1.68,
|
| 224 |
+
"learning_rate": 4.91610576923077e-05,
|
| 225 |
+
"loss": 0.037,
|
| 226 |
+
"step": 350
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 1.73,
|
| 230 |
+
"learning_rate": 4.913701923076923e-05,
|
| 231 |
+
"loss": 0.0375,
|
| 232 |
+
"step": 360
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"epoch": 1.78,
|
| 236 |
+
"learning_rate": 4.911298076923077e-05,
|
| 237 |
+
"loss": 0.0362,
|
| 238 |
+
"step": 370
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"epoch": 1.83,
|
| 242 |
+
"learning_rate": 4.908894230769231e-05,
|
| 243 |
+
"loss": 0.0405,
|
| 244 |
+
"step": 380
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 1.88,
|
| 248 |
+
"learning_rate": 4.906490384615385e-05,
|
| 249 |
+
"loss": 0.0374,
|
| 250 |
+
"step": 390
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"epoch": 1.92,
|
| 254 |
+
"learning_rate": 4.9040865384615385e-05,
|
| 255 |
+
"loss": 0.0374,
|
| 256 |
+
"step": 400
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 1.97,
|
| 260 |
+
"learning_rate": 4.901682692307693e-05,
|
| 261 |
+
"loss": 0.036,
|
| 262 |
+
"step": 410
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 2.0,
|
| 266 |
+
"eval_loss": 0.037033889442682266,
|
| 267 |
+
"eval_runtime": 36.6058,
|
| 268 |
+
"eval_samples_per_second": 17.729,
|
| 269 |
+
"eval_steps_per_second": 2.24,
|
| 270 |
+
"step": 416
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 2.02,
|
| 274 |
+
"learning_rate": 4.8992788461538465e-05,
|
| 275 |
+
"loss": 0.0362,
|
| 276 |
+
"step": 420
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 2.07,
|
| 280 |
+
"learning_rate": 4.896875e-05,
|
| 281 |
+
"loss": 0.0391,
|
| 282 |
+
"step": 430
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 2.12,
|
| 286 |
+
"learning_rate": 4.894471153846154e-05,
|
| 287 |
+
"loss": 0.0361,
|
| 288 |
+
"step": 440
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 2.16,
|
| 292 |
+
"learning_rate": 4.892067307692308e-05,
|
| 293 |
+
"loss": 0.0384,
|
| 294 |
+
"step": 450
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 2.21,
|
| 298 |
+
"learning_rate": 4.889663461538462e-05,
|
| 299 |
+
"loss": 0.0387,
|
| 300 |
+
"step": 460
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 2.26,
|
| 304 |
+
"learning_rate": 4.887259615384615e-05,
|
| 305 |
+
"loss": 0.0333,
|
| 306 |
+
"step": 470
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 2.31,
|
| 310 |
+
"learning_rate": 4.8848557692307696e-05,
|
| 311 |
+
"loss": 0.0371,
|
| 312 |
+
"step": 480
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 2.36,
|
| 316 |
+
"learning_rate": 4.882451923076923e-05,
|
| 317 |
+
"loss": 0.0351,
|
| 318 |
+
"step": 490
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 2.4,
|
| 322 |
+
"learning_rate": 4.880048076923077e-05,
|
| 323 |
+
"loss": 0.0356,
|
| 324 |
+
"step": 500
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 2.45,
|
| 328 |
+
"learning_rate": 4.877644230769231e-05,
|
| 329 |
+
"loss": 0.0355,
|
| 330 |
+
"step": 510
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 2.5,
|
| 334 |
+
"learning_rate": 4.875240384615385e-05,
|
| 335 |
+
"loss": 0.0369,
|
| 336 |
+
"step": 520
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 2.55,
|
| 340 |
+
"learning_rate": 4.8728365384615385e-05,
|
| 341 |
+
"loss": 0.0349,
|
| 342 |
+
"step": 530
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 2.6,
|
| 346 |
+
"learning_rate": 4.870432692307693e-05,
|
| 347 |
+
"loss": 0.0358,
|
| 348 |
+
"step": 540
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 2.64,
|
| 352 |
+
"learning_rate": 4.8680288461538464e-05,
|
| 353 |
+
"loss": 0.0344,
|
| 354 |
+
"step": 550
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 2.69,
|
| 358 |
+
"learning_rate": 4.865625e-05,
|
| 359 |
+
"loss": 0.0341,
|
| 360 |
+
"step": 560
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 2.74,
|
| 364 |
+
"learning_rate": 4.863221153846154e-05,
|
| 365 |
+
"loss": 0.0367,
|
| 366 |
+
"step": 570
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 2.79,
|
| 370 |
+
"learning_rate": 4.860817307692308e-05,
|
| 371 |
+
"loss": 0.0345,
|
| 372 |
+
"step": 580
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 2.84,
|
| 376 |
+
"learning_rate": 4.8584134615384616e-05,
|
| 377 |
+
"loss": 0.0365,
|
| 378 |
+
"step": 590
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 2.88,
|
| 382 |
+
"learning_rate": 4.856009615384616e-05,
|
| 383 |
+
"loss": 0.0334,
|
| 384 |
+
"step": 600
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 2.93,
|
| 388 |
+
"learning_rate": 4.8536057692307695e-05,
|
| 389 |
+
"loss": 0.0356,
|
| 390 |
+
"step": 610
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 2.98,
|
| 394 |
+
"learning_rate": 4.851201923076923e-05,
|
| 395 |
+
"loss": 0.0322,
|
| 396 |
+
"step": 620
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 3.0,
|
| 400 |
+
"eval_loss": 0.034713711589574814,
|
| 401 |
+
"eval_runtime": 36.4637,
|
| 402 |
+
"eval_samples_per_second": 17.799,
|
| 403 |
+
"eval_steps_per_second": 2.249,
|
| 404 |
+
"step": 624
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 3.03,
|
| 408 |
+
"learning_rate": 4.8487980769230775e-05,
|
| 409 |
+
"loss": 0.0354,
|
| 410 |
+
"step": 630
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 3.08,
|
| 414 |
+
"learning_rate": 4.846394230769231e-05,
|
| 415 |
+
"loss": 0.0315,
|
| 416 |
+
"step": 640
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 3.12,
|
| 420 |
+
"learning_rate": 4.843990384615385e-05,
|
| 421 |
+
"loss": 0.036,
|
| 422 |
+
"step": 650
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 3.17,
|
| 426 |
+
"learning_rate": 4.841586538461539e-05,
|
| 427 |
+
"loss": 0.0358,
|
| 428 |
+
"step": 660
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 3.22,
|
| 432 |
+
"learning_rate": 4.839182692307693e-05,
|
| 433 |
+
"loss": 0.0336,
|
| 434 |
+
"step": 670
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 3.27,
|
| 438 |
+
"learning_rate": 4.836778846153846e-05,
|
| 439 |
+
"loss": 0.0349,
|
| 440 |
+
"step": 680
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 3.32,
|
| 444 |
+
"learning_rate": 4.8343750000000006e-05,
|
| 445 |
+
"loss": 0.0342,
|
| 446 |
+
"step": 690
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 3.37,
|
| 450 |
+
"learning_rate": 4.831971153846154e-05,
|
| 451 |
+
"loss": 0.0404,
|
| 452 |
+
"step": 700
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 3.41,
|
| 456 |
+
"learning_rate": 4.829567307692308e-05,
|
| 457 |
+
"loss": 0.0317,
|
| 458 |
+
"step": 710
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 3.46,
|
| 462 |
+
"learning_rate": 4.827163461538462e-05,
|
| 463 |
+
"loss": 0.0362,
|
| 464 |
+
"step": 720
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 3.51,
|
| 468 |
+
"learning_rate": 4.824759615384616e-05,
|
| 469 |
+
"loss": 0.03,
|
| 470 |
+
"step": 730
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 3.56,
|
| 474 |
+
"learning_rate": 4.8223557692307695e-05,
|
| 475 |
+
"loss": 0.0311,
|
| 476 |
+
"step": 740
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 3.61,
|
| 480 |
+
"learning_rate": 4.819951923076924e-05,
|
| 481 |
+
"loss": 0.033,
|
| 482 |
+
"step": 750
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 3.65,
|
| 486 |
+
"learning_rate": 4.8175480769230774e-05,
|
| 487 |
+
"loss": 0.0372,
|
| 488 |
+
"step": 760
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 3.7,
|
| 492 |
+
"learning_rate": 4.815144230769231e-05,
|
| 493 |
+
"loss": 0.0349,
|
| 494 |
+
"step": 770
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 3.75,
|
| 498 |
+
"learning_rate": 4.812740384615385e-05,
|
| 499 |
+
"loss": 0.0329,
|
| 500 |
+
"step": 780
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 3.8,
|
| 504 |
+
"learning_rate": 4.810336538461538e-05,
|
| 505 |
+
"loss": 0.0324,
|
| 506 |
+
"step": 790
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 3.85,
|
| 510 |
+
"learning_rate": 4.8079326923076926e-05,
|
| 511 |
+
"loss": 0.0313,
|
| 512 |
+
"step": 800
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 3.89,
|
| 516 |
+
"learning_rate": 4.805528846153846e-05,
|
| 517 |
+
"loss": 0.0321,
|
| 518 |
+
"step": 810
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 3.94,
|
| 522 |
+
"learning_rate": 4.803125e-05,
|
| 523 |
+
"loss": 0.0365,
|
| 524 |
+
"step": 820
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 3.99,
|
| 528 |
+
"learning_rate": 4.800721153846154e-05,
|
| 529 |
+
"loss": 0.0299,
|
| 530 |
+
"step": 830
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 4.0,
|
| 534 |
+
"eval_loss": 0.033535003662109375,
|
| 535 |
+
"eval_runtime": 36.6636,
|
| 536 |
+
"eval_samples_per_second": 17.701,
|
| 537 |
+
"eval_steps_per_second": 2.237,
|
| 538 |
+
"step": 832
|
| 539 |
+
},
|
| 540 |
+
{
|
| 541 |
+
"epoch": 4.04,
|
| 542 |
+
"learning_rate": 4.798317307692308e-05,
|
| 543 |
+
"loss": 0.0355,
|
| 544 |
+
"step": 840
|
| 545 |
+
},
|
| 546 |
+
{
|
| 547 |
+
"epoch": 4.09,
|
| 548 |
+
"learning_rate": 4.7959134615384614e-05,
|
| 549 |
+
"loss": 0.0303,
|
| 550 |
+
"step": 850
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 4.13,
|
| 554 |
+
"learning_rate": 4.793509615384616e-05,
|
| 555 |
+
"loss": 0.0326,
|
| 556 |
+
"step": 860
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 4.18,
|
| 560 |
+
"learning_rate": 4.7911057692307694e-05,
|
| 561 |
+
"loss": 0.0308,
|
| 562 |
+
"step": 870
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 4.23,
|
| 566 |
+
"learning_rate": 4.788701923076923e-05,
|
| 567 |
+
"loss": 0.0325,
|
| 568 |
+
"step": 880
|
| 569 |
+
},
|
| 570 |
+
{
|
| 571 |
+
"epoch": 4.28,
|
| 572 |
+
"learning_rate": 4.7862980769230766e-05,
|
| 573 |
+
"loss": 0.0357,
|
| 574 |
+
"step": 890
|
| 575 |
+
},
|
| 576 |
+
{
|
| 577 |
+
"epoch": 4.33,
|
| 578 |
+
"learning_rate": 4.783894230769231e-05,
|
| 579 |
+
"loss": 0.0337,
|
| 580 |
+
"step": 900
|
| 581 |
+
},
|
| 582 |
+
{
|
| 583 |
+
"epoch": 4.38,
|
| 584 |
+
"learning_rate": 4.7814903846153846e-05,
|
| 585 |
+
"loss": 0.0343,
|
| 586 |
+
"step": 910
|
| 587 |
+
},
|
| 588 |
+
{
|
| 589 |
+
"epoch": 4.42,
|
| 590 |
+
"learning_rate": 4.779086538461538e-05,
|
| 591 |
+
"loss": 0.0287,
|
| 592 |
+
"step": 920
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 4.47,
|
| 596 |
+
"learning_rate": 4.7766826923076925e-05,
|
| 597 |
+
"loss": 0.0294,
|
| 598 |
+
"step": 930
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 4.52,
|
| 602 |
+
"learning_rate": 4.774278846153846e-05,
|
| 603 |
+
"loss": 0.0289,
|
| 604 |
+
"step": 940
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 4.57,
|
| 608 |
+
"learning_rate": 4.771875e-05,
|
| 609 |
+
"loss": 0.03,
|
| 610 |
+
"step": 950
|
| 611 |
+
},
|
| 612 |
+
{
|
| 613 |
+
"epoch": 4.62,
|
| 614 |
+
"learning_rate": 4.769471153846154e-05,
|
| 615 |
+
"loss": 0.0337,
|
| 616 |
+
"step": 960
|
| 617 |
+
},
|
| 618 |
+
{
|
| 619 |
+
"epoch": 4.66,
|
| 620 |
+
"learning_rate": 4.767067307692308e-05,
|
| 621 |
+
"loss": 0.0335,
|
| 622 |
+
"step": 970
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"epoch": 4.71,
|
| 626 |
+
"learning_rate": 4.7646634615384613e-05,
|
| 627 |
+
"loss": 0.028,
|
| 628 |
+
"step": 980
|
| 629 |
+
},
|
| 630 |
+
{
|
| 631 |
+
"epoch": 4.76,
|
| 632 |
+
"learning_rate": 4.7622596153846157e-05,
|
| 633 |
+
"loss": 0.0304,
|
| 634 |
+
"step": 990
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 4.81,
|
| 638 |
+
"learning_rate": 4.759855769230769e-05,
|
| 639 |
+
"loss": 0.0324,
|
| 640 |
+
"step": 1000
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 4.86,
|
| 644 |
+
"learning_rate": 4.757451923076923e-05,
|
| 645 |
+
"loss": 0.0282,
|
| 646 |
+
"step": 1010
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 4.9,
|
| 650 |
+
"learning_rate": 4.755048076923077e-05,
|
| 651 |
+
"loss": 0.0306,
|
| 652 |
+
"step": 1020
|
| 653 |
+
},
|
| 654 |
+
{
|
| 655 |
+
"epoch": 4.95,
|
| 656 |
+
"learning_rate": 4.752644230769231e-05,
|
| 657 |
+
"loss": 0.0304,
|
| 658 |
+
"step": 1030
|
| 659 |
+
},
|
| 660 |
+
{
|
| 661 |
+
"epoch": 5.0,
|
| 662 |
+
"learning_rate": 4.7502403846153845e-05,
|
| 663 |
+
"loss": 0.0323,
|
| 664 |
+
"step": 1040
|
| 665 |
+
},
|
| 666 |
+
{
|
| 667 |
+
"epoch": 5.0,
|
| 668 |
+
"eval_loss": 0.032066214829683304,
|
| 669 |
+
"eval_runtime": 36.0368,
|
| 670 |
+
"eval_samples_per_second": 18.009,
|
| 671 |
+
"eval_steps_per_second": 2.275,
|
| 672 |
+
"step": 1040
|
| 673 |
+
},
|
| 674 |
+
{
|
| 675 |
+
"epoch": 5.05,
|
| 676 |
+
"learning_rate": 4.747836538461539e-05,
|
| 677 |
+
"loss": 0.0298,
|
| 678 |
+
"step": 1050
|
| 679 |
+
},
|
| 680 |
+
{
|
| 681 |
+
"epoch": 5.1,
|
| 682 |
+
"learning_rate": 4.7454326923076924e-05,
|
| 683 |
+
"loss": 0.0317,
|
| 684 |
+
"step": 1060
|
| 685 |
+
},
|
| 686 |
+
{
|
| 687 |
+
"epoch": 5.14,
|
| 688 |
+
"learning_rate": 4.743028846153846e-05,
|
| 689 |
+
"loss": 0.0309,
|
| 690 |
+
"step": 1070
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 5.19,
|
| 694 |
+
"learning_rate": 4.7406250000000004e-05,
|
| 695 |
+
"loss": 0.0315,
|
| 696 |
+
"step": 1080
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 5.24,
|
| 700 |
+
"learning_rate": 4.738221153846154e-05,
|
| 701 |
+
"loss": 0.0279,
|
| 702 |
+
"step": 1090
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 5.29,
|
| 706 |
+
"learning_rate": 4.7358173076923076e-05,
|
| 707 |
+
"loss": 0.0287,
|
| 708 |
+
"step": 1100
|
| 709 |
+
},
|
| 710 |
+
{
|
| 711 |
+
"epoch": 5.34,
|
| 712 |
+
"learning_rate": 4.733413461538462e-05,
|
| 713 |
+
"loss": 0.0286,
|
| 714 |
+
"step": 1110
|
| 715 |
+
},
|
| 716 |
+
{
|
| 717 |
+
"epoch": 5.38,
|
| 718 |
+
"learning_rate": 4.7310096153846156e-05,
|
| 719 |
+
"loss": 0.0301,
|
| 720 |
+
"step": 1120
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 5.43,
|
| 724 |
+
"learning_rate": 4.728605769230769e-05,
|
| 725 |
+
"loss": 0.0345,
|
| 726 |
+
"step": 1130
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 5.48,
|
| 730 |
+
"learning_rate": 4.7262019230769235e-05,
|
| 731 |
+
"loss": 0.03,
|
| 732 |
+
"step": 1140
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 5.53,
|
| 736 |
+
"learning_rate": 4.723798076923077e-05,
|
| 737 |
+
"loss": 0.0263,
|
| 738 |
+
"step": 1150
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 5.58,
|
| 742 |
+
"learning_rate": 4.721394230769231e-05,
|
| 743 |
+
"loss": 0.0278,
|
| 744 |
+
"step": 1160
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 5.62,
|
| 748 |
+
"learning_rate": 4.718990384615385e-05,
|
| 749 |
+
"loss": 0.0281,
|
| 750 |
+
"step": 1170
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 5.67,
|
| 754 |
+
"learning_rate": 4.716586538461539e-05,
|
| 755 |
+
"loss": 0.0304,
|
| 756 |
+
"step": 1180
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 5.72,
|
| 760 |
+
"learning_rate": 4.7141826923076924e-05,
|
| 761 |
+
"loss": 0.0269,
|
| 762 |
+
"step": 1190
|
| 763 |
+
},
|
| 764 |
+
{
|
| 765 |
+
"epoch": 5.77,
|
| 766 |
+
"learning_rate": 4.7117788461538467e-05,
|
| 767 |
+
"loss": 0.0301,
|
| 768 |
+
"step": 1200
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 5.82,
|
| 772 |
+
"learning_rate": 4.709375e-05,
|
| 773 |
+
"loss": 0.0284,
|
| 774 |
+
"step": 1210
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 5.87,
|
| 778 |
+
"learning_rate": 4.706971153846154e-05,
|
| 779 |
+
"loss": 0.0292,
|
| 780 |
+
"step": 1220
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 5.91,
|
| 784 |
+
"learning_rate": 4.704567307692308e-05,
|
| 785 |
+
"loss": 0.0304,
|
| 786 |
+
"step": 1230
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 5.96,
|
| 790 |
+
"learning_rate": 4.702163461538462e-05,
|
| 791 |
+
"loss": 0.0328,
|
| 792 |
+
"step": 1240
|
| 793 |
+
},
|
| 794 |
+
{
|
| 795 |
+
"epoch": 6.0,
|
| 796 |
+
"eval_loss": 0.030981002375483513,
|
| 797 |
+
"eval_runtime": 36.8216,
|
| 798 |
+
"eval_samples_per_second": 17.626,
|
| 799 |
+
"eval_steps_per_second": 2.227,
|
| 800 |
+
"step": 1248
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 6.01,
|
| 804 |
+
"learning_rate": 4.6997596153846155e-05,
|
| 805 |
+
"loss": 0.0265,
|
| 806 |
+
"step": 1250
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 6.06,
|
| 810 |
+
"learning_rate": 4.69735576923077e-05,
|
| 811 |
+
"loss": 0.029,
|
| 812 |
+
"step": 1260
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 6.11,
|
| 816 |
+
"learning_rate": 4.6949519230769234e-05,
|
| 817 |
+
"loss": 0.0273,
|
| 818 |
+
"step": 1270
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 6.15,
|
| 822 |
+
"learning_rate": 4.692548076923077e-05,
|
| 823 |
+
"loss": 0.0275,
|
| 824 |
+
"step": 1280
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 6.2,
|
| 828 |
+
"learning_rate": 4.6901442307692314e-05,
|
| 829 |
+
"loss": 0.0283,
|
| 830 |
+
"step": 1290
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 6.25,
|
| 834 |
+
"learning_rate": 4.687740384615385e-05,
|
| 835 |
+
"loss": 0.025,
|
| 836 |
+
"step": 1300
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 6.3,
|
| 840 |
+
"learning_rate": 4.6853365384615386e-05,
|
| 841 |
+
"loss": 0.023,
|
| 842 |
+
"step": 1310
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 6.35,
|
| 846 |
+
"learning_rate": 4.682932692307693e-05,
|
| 847 |
+
"loss": 0.0275,
|
| 848 |
+
"step": 1320
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 6.39,
|
| 852 |
+
"learning_rate": 4.6805288461538466e-05,
|
| 853 |
+
"loss": 0.0286,
|
| 854 |
+
"step": 1330
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 6.44,
|
| 858 |
+
"learning_rate": 4.678125e-05,
|
| 859 |
+
"loss": 0.0267,
|
| 860 |
+
"step": 1340
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 6.49,
|
| 864 |
+
"learning_rate": 4.6757211538461545e-05,
|
| 865 |
+
"loss": 0.031,
|
| 866 |
+
"step": 1350
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 6.54,
|
| 870 |
+
"learning_rate": 4.673317307692308e-05,
|
| 871 |
+
"loss": 0.0267,
|
| 872 |
+
"step": 1360
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 6.59,
|
| 876 |
+
"learning_rate": 4.670913461538462e-05,
|
| 877 |
+
"loss": 0.0283,
|
| 878 |
+
"step": 1370
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 6.63,
|
| 882 |
+
"learning_rate": 4.668509615384616e-05,
|
| 883 |
+
"loss": 0.0266,
|
| 884 |
+
"step": 1380
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 6.68,
|
| 888 |
+
"learning_rate": 4.66610576923077e-05,
|
| 889 |
+
"loss": 0.0277,
|
| 890 |
+
"step": 1390
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 6.73,
|
| 894 |
+
"learning_rate": 4.6637019230769234e-05,
|
| 895 |
+
"loss": 0.0298,
|
| 896 |
+
"step": 1400
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 6.78,
|
| 900 |
+
"learning_rate": 4.6612980769230777e-05,
|
| 901 |
+
"loss": 0.0294,
|
| 902 |
+
"step": 1410
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 6.83,
|
| 906 |
+
"learning_rate": 4.658894230769231e-05,
|
| 907 |
+
"loss": 0.0253,
|
| 908 |
+
"step": 1420
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 6.88,
|
| 912 |
+
"learning_rate": 4.656490384615385e-05,
|
| 913 |
+
"loss": 0.0264,
|
| 914 |
+
"step": 1430
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 6.92,
|
| 918 |
+
"learning_rate": 4.6540865384615386e-05,
|
| 919 |
+
"loss": 0.0288,
|
| 920 |
+
"step": 1440
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 6.97,
|
| 924 |
+
"learning_rate": 4.651682692307692e-05,
|
| 925 |
+
"loss": 0.024,
|
| 926 |
+
"step": 1450
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 7.0,
|
| 930 |
+
"eval_loss": 0.031017007306218147,
|
| 931 |
+
"eval_runtime": 37.113,
|
| 932 |
+
"eval_samples_per_second": 17.487,
|
| 933 |
+
"eval_steps_per_second": 2.209,
|
| 934 |
+
"step": 1456
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 7.02,
|
| 938 |
+
"learning_rate": 4.649278846153846e-05,
|
| 939 |
+
"loss": 0.0238,
|
| 940 |
+
"step": 1460
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 7.07,
|
| 944 |
+
"learning_rate": 4.646875e-05,
|
| 945 |
+
"loss": 0.0284,
|
| 946 |
+
"step": 1470
|
| 947 |
+
},
|
| 948 |
+
{
|
| 949 |
+
"epoch": 7.12,
|
| 950 |
+
"learning_rate": 4.644471153846154e-05,
|
| 951 |
+
"loss": 0.0248,
|
| 952 |
+
"step": 1480
|
| 953 |
+
},
|
| 954 |
+
{
|
| 955 |
+
"epoch": 7.16,
|
| 956 |
+
"learning_rate": 4.6420673076923074e-05,
|
| 957 |
+
"loss": 0.0234,
|
| 958 |
+
"step": 1490
|
| 959 |
+
},
|
| 960 |
+
{
|
| 961 |
+
"epoch": 7.21,
|
| 962 |
+
"learning_rate": 4.639663461538462e-05,
|
| 963 |
+
"loss": 0.0271,
|
| 964 |
+
"step": 1500
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"epoch": 7.26,
|
| 968 |
+
"learning_rate": 4.637259615384615e-05,
|
| 969 |
+
"loss": 0.0267,
|
| 970 |
+
"step": 1510
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
"epoch": 7.31,
|
| 974 |
+
"learning_rate": 4.634855769230769e-05,
|
| 975 |
+
"loss": 0.0252,
|
| 976 |
+
"step": 1520
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 7.36,
|
| 980 |
+
"learning_rate": 4.632451923076923e-05,
|
| 981 |
+
"loss": 0.0257,
|
| 982 |
+
"step": 1530
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 7.4,
|
| 986 |
+
"learning_rate": 4.630048076923077e-05,
|
| 987 |
+
"loss": 0.0224,
|
| 988 |
+
"step": 1540
|
| 989 |
+
},
|
| 990 |
+
{
|
| 991 |
+
"epoch": 7.45,
|
| 992 |
+
"learning_rate": 4.6276442307692305e-05,
|
| 993 |
+
"loss": 0.0277,
|
| 994 |
+
"step": 1550
|
| 995 |
+
},
|
| 996 |
+
{
|
| 997 |
+
"epoch": 7.5,
|
| 998 |
+
"learning_rate": 4.625240384615385e-05,
|
| 999 |
+
"loss": 0.0297,
|
| 1000 |
+
"step": 1560
|
| 1001 |
+
},
|
| 1002 |
+
{
|
| 1003 |
+
"epoch": 7.55,
|
| 1004 |
+
"learning_rate": 4.6228365384615385e-05,
|
| 1005 |
+
"loss": 0.0254,
|
| 1006 |
+
"step": 1570
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 7.6,
|
| 1010 |
+
"learning_rate": 4.620432692307692e-05,
|
| 1011 |
+
"loss": 0.0238,
|
| 1012 |
+
"step": 1580
|
| 1013 |
+
},
|
| 1014 |
+
{
|
| 1015 |
+
"epoch": 7.64,
|
| 1016 |
+
"learning_rate": 4.6180288461538464e-05,
|
| 1017 |
+
"loss": 0.0243,
|
| 1018 |
+
"step": 1590
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 7.69,
|
| 1022 |
+
"learning_rate": 4.615625e-05,
|
| 1023 |
+
"loss": 0.0262,
|
| 1024 |
+
"step": 1600
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 7.74,
|
| 1028 |
+
"learning_rate": 4.613221153846154e-05,
|
| 1029 |
+
"loss": 0.0308,
|
| 1030 |
+
"step": 1610
|
| 1031 |
+
},
|
| 1032 |
+
{
|
| 1033 |
+
"epoch": 7.79,
|
| 1034 |
+
"learning_rate": 4.610817307692308e-05,
|
| 1035 |
+
"loss": 0.022,
|
| 1036 |
+
"step": 1620
|
| 1037 |
+
},
|
| 1038 |
+
{
|
| 1039 |
+
"epoch": 7.84,
|
| 1040 |
+
"learning_rate": 4.6084134615384616e-05,
|
| 1041 |
+
"loss": 0.0236,
|
| 1042 |
+
"step": 1630
|
| 1043 |
+
},
|
| 1044 |
+
{
|
| 1045 |
+
"epoch": 7.88,
|
| 1046 |
+
"learning_rate": 4.606009615384615e-05,
|
| 1047 |
+
"loss": 0.0251,
|
| 1048 |
+
"step": 1640
|
| 1049 |
+
},
|
| 1050 |
+
{
|
| 1051 |
+
"epoch": 7.93,
|
| 1052 |
+
"learning_rate": 4.6036057692307696e-05,
|
| 1053 |
+
"loss": 0.0261,
|
| 1054 |
+
"step": 1650
|
| 1055 |
+
},
|
| 1056 |
+
{
|
| 1057 |
+
"epoch": 7.98,
|
| 1058 |
+
"learning_rate": 4.601201923076923e-05,
|
| 1059 |
+
"loss": 0.024,
|
| 1060 |
+
"step": 1660
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 8.0,
|
| 1064 |
+
"eval_loss": 0.030306896194815636,
|
| 1065 |
+
"eval_runtime": 37.1939,
|
| 1066 |
+
"eval_samples_per_second": 17.449,
|
| 1067 |
+
"eval_steps_per_second": 2.205,
|
| 1068 |
+
"step": 1664
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 8.03,
|
| 1072 |
+
"learning_rate": 4.598798076923077e-05,
|
| 1073 |
+
"loss": 0.0273,
|
| 1074 |
+
"step": 1670
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 8.08,
|
| 1078 |
+
"learning_rate": 4.596394230769231e-05,
|
| 1079 |
+
"loss": 0.0256,
|
| 1080 |
+
"step": 1680
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 8.12,
|
| 1084 |
+
"learning_rate": 4.593990384615385e-05,
|
| 1085 |
+
"loss": 0.0246,
|
| 1086 |
+
"step": 1690
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 8.17,
|
| 1090 |
+
"learning_rate": 4.5915865384615384e-05,
|
| 1091 |
+
"loss": 0.0216,
|
| 1092 |
+
"step": 1700
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 8.22,
|
| 1096 |
+
"learning_rate": 4.589182692307693e-05,
|
| 1097 |
+
"loss": 0.0237,
|
| 1098 |
+
"step": 1710
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 8.27,
|
| 1102 |
+
"learning_rate": 4.586778846153846e-05,
|
| 1103 |
+
"loss": 0.0205,
|
| 1104 |
+
"step": 1720
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 8.32,
|
| 1108 |
+
"learning_rate": 4.584375e-05,
|
| 1109 |
+
"loss": 0.0221,
|
| 1110 |
+
"step": 1730
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 8.37,
|
| 1114 |
+
"learning_rate": 4.581971153846154e-05,
|
| 1115 |
+
"loss": 0.0282,
|
| 1116 |
+
"step": 1740
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 8.41,
|
| 1120 |
+
"learning_rate": 4.579567307692308e-05,
|
| 1121 |
+
"loss": 0.0283,
|
| 1122 |
+
"step": 1750
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 8.46,
|
| 1126 |
+
"learning_rate": 4.5771634615384615e-05,
|
| 1127 |
+
"loss": 0.0214,
|
| 1128 |
+
"step": 1760
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 8.51,
|
| 1132 |
+
"learning_rate": 4.574759615384616e-05,
|
| 1133 |
+
"loss": 0.0267,
|
| 1134 |
+
"step": 1770
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 8.56,
|
| 1138 |
+
"learning_rate": 4.5723557692307695e-05,
|
| 1139 |
+
"loss": 0.02,
|
| 1140 |
+
"step": 1780
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 8.61,
|
| 1144 |
+
"learning_rate": 4.569951923076923e-05,
|
| 1145 |
+
"loss": 0.0234,
|
| 1146 |
+
"step": 1790
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 8.65,
|
| 1150 |
+
"learning_rate": 4.5675480769230774e-05,
|
| 1151 |
+
"loss": 0.0269,
|
| 1152 |
+
"step": 1800
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 8.7,
|
| 1156 |
+
"learning_rate": 4.565144230769231e-05,
|
| 1157 |
+
"loss": 0.0255,
|
| 1158 |
+
"step": 1810
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 8.75,
|
| 1162 |
+
"learning_rate": 4.562740384615385e-05,
|
| 1163 |
+
"loss": 0.0256,
|
| 1164 |
+
"step": 1820
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 8.8,
|
| 1168 |
+
"learning_rate": 4.560336538461539e-05,
|
| 1169 |
+
"loss": 0.0227,
|
| 1170 |
+
"step": 1830
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"epoch": 8.85,
|
| 1174 |
+
"learning_rate": 4.5579326923076926e-05,
|
| 1175 |
+
"loss": 0.0233,
|
| 1176 |
+
"step": 1840
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 8.89,
|
| 1180 |
+
"learning_rate": 4.555528846153846e-05,
|
| 1181 |
+
"loss": 0.0235,
|
| 1182 |
+
"step": 1850
|
| 1183 |
+
},
|
| 1184 |
+
{
|
| 1185 |
+
"epoch": 8.94,
|
| 1186 |
+
"learning_rate": 4.5531250000000006e-05,
|
| 1187 |
+
"loss": 0.029,
|
| 1188 |
+
"step": 1860
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 8.99,
|
| 1192 |
+
"learning_rate": 4.550721153846154e-05,
|
| 1193 |
+
"loss": 0.0252,
|
| 1194 |
+
"step": 1870
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 9.0,
|
| 1198 |
+
"eval_loss": 0.030633406713604927,
|
| 1199 |
+
"eval_runtime": 37.8394,
|
| 1200 |
+
"eval_samples_per_second": 17.151,
|
| 1201 |
+
"eval_steps_per_second": 2.167,
|
| 1202 |
+
"step": 1872
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 9.04,
|
| 1206 |
+
"learning_rate": 4.548317307692308e-05,
|
| 1207 |
+
"loss": 0.0241,
|
| 1208 |
+
"step": 1880
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 9.09,
|
| 1212 |
+
"learning_rate": 4.545913461538462e-05,
|
| 1213 |
+
"loss": 0.0207,
|
| 1214 |
+
"step": 1890
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 9.13,
|
| 1218 |
+
"learning_rate": 4.543509615384616e-05,
|
| 1219 |
+
"loss": 0.0219,
|
| 1220 |
+
"step": 1900
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 9.18,
|
| 1224 |
+
"learning_rate": 4.5411057692307694e-05,
|
| 1225 |
+
"loss": 0.0226,
|
| 1226 |
+
"step": 1910
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"epoch": 9.23,
|
| 1230 |
+
"learning_rate": 4.538701923076924e-05,
|
| 1231 |
+
"loss": 0.0205,
|
| 1232 |
+
"step": 1920
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 9.28,
|
| 1236 |
+
"learning_rate": 4.536298076923077e-05,
|
| 1237 |
+
"loss": 0.0209,
|
| 1238 |
+
"step": 1930
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 9.33,
|
| 1242 |
+
"learning_rate": 4.533894230769231e-05,
|
| 1243 |
+
"loss": 0.0232,
|
| 1244 |
+
"step": 1940
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 9.38,
|
| 1248 |
+
"learning_rate": 4.531490384615385e-05,
|
| 1249 |
+
"loss": 0.0241,
|
| 1250 |
+
"step": 1950
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 9.42,
|
| 1254 |
+
"learning_rate": 4.529086538461539e-05,
|
| 1255 |
+
"loss": 0.022,
|
| 1256 |
+
"step": 1960
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 9.47,
|
| 1260 |
+
"learning_rate": 4.5266826923076925e-05,
|
| 1261 |
+
"loss": 0.0231,
|
| 1262 |
+
"step": 1970
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 9.52,
|
| 1266 |
+
"learning_rate": 4.524278846153847e-05,
|
| 1267 |
+
"loss": 0.0242,
|
| 1268 |
+
"step": 1980
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 9.57,
|
| 1272 |
+
"learning_rate": 4.5218750000000005e-05,
|
| 1273 |
+
"loss": 0.0247,
|
| 1274 |
+
"step": 1990
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 9.62,
|
| 1278 |
+
"learning_rate": 4.519471153846154e-05,
|
| 1279 |
+
"loss": 0.0225,
|
| 1280 |
+
"step": 2000
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 9.66,
|
| 1284 |
+
"learning_rate": 4.5170673076923084e-05,
|
| 1285 |
+
"loss": 0.032,
|
| 1286 |
+
"step": 2010
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 9.71,
|
| 1290 |
+
"learning_rate": 4.514663461538462e-05,
|
| 1291 |
+
"loss": 0.022,
|
| 1292 |
+
"step": 2020
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 9.76,
|
| 1296 |
+
"learning_rate": 4.512259615384616e-05,
|
| 1297 |
+
"loss": 0.0184,
|
| 1298 |
+
"step": 2030
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 9.81,
|
| 1302 |
+
"learning_rate": 4.50985576923077e-05,
|
| 1303 |
+
"loss": 0.0235,
|
| 1304 |
+
"step": 2040
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 9.86,
|
| 1308 |
+
"learning_rate": 4.5074519230769236e-05,
|
| 1309 |
+
"loss": 0.0215,
|
| 1310 |
+
"step": 2050
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"epoch": 9.9,
|
| 1314 |
+
"learning_rate": 4.505048076923077e-05,
|
| 1315 |
+
"loss": 0.0241,
|
| 1316 |
+
"step": 2060
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"epoch": 9.95,
|
| 1320 |
+
"learning_rate": 4.5026442307692316e-05,
|
| 1321 |
+
"loss": 0.0193,
|
| 1322 |
+
"step": 2070
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 10.0,
|
| 1326 |
+
"learning_rate": 4.500240384615385e-05,
|
| 1327 |
+
"loss": 0.0203,
|
| 1328 |
+
"step": 2080
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 10.0,
|
| 1332 |
+
"eval_loss": 0.030458811670541763,
|
| 1333 |
+
"eval_runtime": 36.2671,
|
| 1334 |
+
"eval_samples_per_second": 17.895,
|
| 1335 |
+
"eval_steps_per_second": 2.261,
|
| 1336 |
+
"step": 2080
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"epoch": 10.05,
|
| 1340 |
+
"learning_rate": 4.497836538461538e-05,
|
| 1341 |
+
"loss": 0.0231,
|
| 1342 |
+
"step": 2090
|
| 1343 |
+
},
|
| 1344 |
+
{
|
| 1345 |
+
"epoch": 10.1,
|
| 1346 |
+
"learning_rate": 4.4954326923076925e-05,
|
| 1347 |
+
"loss": 0.0237,
|
| 1348 |
+
"step": 2100
|
| 1349 |
+
},
|
| 1350 |
+
{
|
| 1351 |
+
"epoch": 10.14,
|
| 1352 |
+
"learning_rate": 4.493028846153846e-05,
|
| 1353 |
+
"loss": 0.0193,
|
| 1354 |
+
"step": 2110
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 10.19,
|
| 1358 |
+
"learning_rate": 4.490625e-05,
|
| 1359 |
+
"loss": 0.0202,
|
| 1360 |
+
"step": 2120
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 10.24,
|
| 1364 |
+
"learning_rate": 4.488221153846154e-05,
|
| 1365 |
+
"loss": 0.0246,
|
| 1366 |
+
"step": 2130
|
| 1367 |
+
},
|
| 1368 |
+
{
|
| 1369 |
+
"epoch": 10.29,
|
| 1370 |
+
"learning_rate": 4.4858173076923077e-05,
|
| 1371 |
+
"loss": 0.0245,
|
| 1372 |
+
"step": 2140
|
| 1373 |
+
},
|
| 1374 |
+
{
|
| 1375 |
+
"epoch": 10.34,
|
| 1376 |
+
"learning_rate": 4.483413461538461e-05,
|
| 1377 |
+
"loss": 0.02,
|
| 1378 |
+
"step": 2150
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"epoch": 10.38,
|
| 1382 |
+
"learning_rate": 4.4810096153846156e-05,
|
| 1383 |
+
"loss": 0.0224,
|
| 1384 |
+
"step": 2160
|
| 1385 |
+
},
|
| 1386 |
+
{
|
| 1387 |
+
"epoch": 10.43,
|
| 1388 |
+
"learning_rate": 4.478605769230769e-05,
|
| 1389 |
+
"loss": 0.0209,
|
| 1390 |
+
"step": 2170
|
| 1391 |
+
},
|
| 1392 |
+
{
|
| 1393 |
+
"epoch": 10.48,
|
| 1394 |
+
"learning_rate": 4.476201923076923e-05,
|
| 1395 |
+
"loss": 0.02,
|
| 1396 |
+
"step": 2180
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 10.53,
|
| 1400 |
+
"learning_rate": 4.473798076923077e-05,
|
| 1401 |
+
"loss": 0.0233,
|
| 1402 |
+
"step": 2190
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 10.58,
|
| 1406 |
+
"learning_rate": 4.471634615384616e-05,
|
| 1407 |
+
"loss": 0.0222,
|
| 1408 |
+
"step": 2200
|
| 1409 |
+
},
|
| 1410 |
+
{
|
| 1411 |
+
"epoch": 10.62,
|
| 1412 |
+
"learning_rate": 4.4692307692307693e-05,
|
| 1413 |
+
"loss": 0.0233,
|
| 1414 |
+
"step": 2210
|
| 1415 |
+
},
|
| 1416 |
+
{
|
| 1417 |
+
"epoch": 10.67,
|
| 1418 |
+
"learning_rate": 4.466826923076923e-05,
|
| 1419 |
+
"loss": 0.0216,
|
| 1420 |
+
"step": 2220
|
| 1421 |
+
},
|
| 1422 |
+
{
|
| 1423 |
+
"epoch": 10.72,
|
| 1424 |
+
"learning_rate": 4.464423076923077e-05,
|
| 1425 |
+
"loss": 0.0239,
|
| 1426 |
+
"step": 2230
|
| 1427 |
+
},
|
| 1428 |
+
{
|
| 1429 |
+
"epoch": 10.77,
|
| 1430 |
+
"learning_rate": 4.462019230769231e-05,
|
| 1431 |
+
"loss": 0.019,
|
| 1432 |
+
"step": 2240
|
| 1433 |
+
},
|
| 1434 |
+
{
|
| 1435 |
+
"epoch": 10.82,
|
| 1436 |
+
"learning_rate": 4.4596153846153845e-05,
|
| 1437 |
+
"loss": 0.023,
|
| 1438 |
+
"step": 2250
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 10.87,
|
| 1442 |
+
"learning_rate": 4.457211538461539e-05,
|
| 1443 |
+
"loss": 0.0218,
|
| 1444 |
+
"step": 2260
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 10.91,
|
| 1448 |
+
"learning_rate": 4.4548076923076925e-05,
|
| 1449 |
+
"loss": 0.0223,
|
| 1450 |
+
"step": 2270
|
| 1451 |
+
},
|
| 1452 |
+
{
|
| 1453 |
+
"epoch": 10.96,
|
| 1454 |
+
"learning_rate": 4.452403846153846e-05,
|
| 1455 |
+
"loss": 0.0175,
|
| 1456 |
+
"step": 2280
|
| 1457 |
+
},
|
| 1458 |
+
{
|
| 1459 |
+
"epoch": 11.0,
|
| 1460 |
+
"eval_loss": 0.030906477943062782,
|
| 1461 |
+
"eval_runtime": 36.4911,
|
| 1462 |
+
"eval_samples_per_second": 17.785,
|
| 1463 |
+
"eval_steps_per_second": 2.247,
|
| 1464 |
+
"step": 2288
|
| 1465 |
+
},
|
| 1466 |
+
{
|
| 1467 |
+
"epoch": 11.01,
|
| 1468 |
+
"learning_rate": 4.4500000000000004e-05,
|
| 1469 |
+
"loss": 0.0194,
|
| 1470 |
+
"step": 2290
|
| 1471 |
+
},
|
| 1472 |
+
{
|
| 1473 |
+
"epoch": 11.06,
|
| 1474 |
+
"learning_rate": 4.447596153846154e-05,
|
| 1475 |
+
"loss": 0.0205,
|
| 1476 |
+
"step": 2300
|
| 1477 |
+
},
|
| 1478 |
+
{
|
| 1479 |
+
"epoch": 11.11,
|
| 1480 |
+
"learning_rate": 4.445192307692308e-05,
|
| 1481 |
+
"loss": 0.0234,
|
| 1482 |
+
"step": 2310
|
| 1483 |
+
},
|
| 1484 |
+
{
|
| 1485 |
+
"epoch": 11.15,
|
| 1486 |
+
"learning_rate": 4.442788461538462e-05,
|
| 1487 |
+
"loss": 0.0202,
|
| 1488 |
+
"step": 2320
|
| 1489 |
+
},
|
| 1490 |
+
{
|
| 1491 |
+
"epoch": 11.2,
|
| 1492 |
+
"learning_rate": 4.4403846153846156e-05,
|
| 1493 |
+
"loss": 0.0191,
|
| 1494 |
+
"step": 2330
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 11.25,
|
| 1498 |
+
"learning_rate": 4.437980769230769e-05,
|
| 1499 |
+
"loss": 0.0176,
|
| 1500 |
+
"step": 2340
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 11.3,
|
| 1504 |
+
"learning_rate": 4.4355769230769236e-05,
|
| 1505 |
+
"loss": 0.0175,
|
| 1506 |
+
"step": 2350
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"epoch": 11.35,
|
| 1510 |
+
"learning_rate": 4.433173076923077e-05,
|
| 1511 |
+
"loss": 0.0194,
|
| 1512 |
+
"step": 2360
|
| 1513 |
+
},
|
| 1514 |
+
{
|
| 1515 |
+
"epoch": 11.39,
|
| 1516 |
+
"learning_rate": 4.430769230769231e-05,
|
| 1517 |
+
"loss": 0.0177,
|
| 1518 |
+
"step": 2370
|
| 1519 |
+
},
|
| 1520 |
+
{
|
| 1521 |
+
"epoch": 11.44,
|
| 1522 |
+
"learning_rate": 4.428365384615385e-05,
|
| 1523 |
+
"loss": 0.0182,
|
| 1524 |
+
"step": 2380
|
| 1525 |
+
},
|
| 1526 |
+
{
|
| 1527 |
+
"epoch": 11.49,
|
| 1528 |
+
"learning_rate": 4.425961538461539e-05,
|
| 1529 |
+
"loss": 0.0225,
|
| 1530 |
+
"step": 2390
|
| 1531 |
+
},
|
| 1532 |
+
{
|
| 1533 |
+
"epoch": 11.54,
|
| 1534 |
+
"learning_rate": 4.4235576923076924e-05,
|
| 1535 |
+
"loss": 0.0189,
|
| 1536 |
+
"step": 2400
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 11.59,
|
| 1540 |
+
"learning_rate": 4.421153846153847e-05,
|
| 1541 |
+
"loss": 0.0183,
|
| 1542 |
+
"step": 2410
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 11.63,
|
| 1546 |
+
"learning_rate": 4.4187500000000003e-05,
|
| 1547 |
+
"loss": 0.0233,
|
| 1548 |
+
"step": 2420
|
| 1549 |
+
},
|
| 1550 |
+
{
|
| 1551 |
+
"epoch": 11.68,
|
| 1552 |
+
"learning_rate": 4.416346153846154e-05,
|
| 1553 |
+
"loss": 0.0208,
|
| 1554 |
+
"step": 2430
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 11.73,
|
| 1558 |
+
"learning_rate": 4.413942307692308e-05,
|
| 1559 |
+
"loss": 0.0189,
|
| 1560 |
+
"step": 2440
|
| 1561 |
+
},
|
| 1562 |
+
{
|
| 1563 |
+
"epoch": 11.78,
|
| 1564 |
+
"learning_rate": 4.411538461538462e-05,
|
| 1565 |
+
"loss": 0.0201,
|
| 1566 |
+
"step": 2450
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"epoch": 11.83,
|
| 1570 |
+
"learning_rate": 4.4091346153846155e-05,
|
| 1571 |
+
"loss": 0.0223,
|
| 1572 |
+
"step": 2460
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"epoch": 11.88,
|
| 1576 |
+
"learning_rate": 4.40673076923077e-05,
|
| 1577 |
+
"loss": 0.0216,
|
| 1578 |
+
"step": 2470
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 11.92,
|
| 1582 |
+
"learning_rate": 4.4043269230769235e-05,
|
| 1583 |
+
"loss": 0.0187,
|
| 1584 |
+
"step": 2480
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 11.97,
|
| 1588 |
+
"learning_rate": 4.4021634615384613e-05,
|
| 1589 |
+
"loss": 0.0243,
|
| 1590 |
+
"step": 2490
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"epoch": 12.0,
|
| 1594 |
+
"eval_loss": 0.029699677601456642,
|
| 1595 |
+
"eval_runtime": 36.7497,
|
| 1596 |
+
"eval_samples_per_second": 17.66,
|
| 1597 |
+
"eval_steps_per_second": 2.231,
|
| 1598 |
+
"step": 2496
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 12.02,
|
| 1602 |
+
"learning_rate": 4.3997596153846157e-05,
|
| 1603 |
+
"loss": 0.02,
|
| 1604 |
+
"step": 2500
|
| 1605 |
+
},
|
| 1606 |
+
{
|
| 1607 |
+
"epoch": 12.07,
|
| 1608 |
+
"learning_rate": 4.397355769230769e-05,
|
| 1609 |
+
"loss": 0.0165,
|
| 1610 |
+
"step": 2510
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"epoch": 12.12,
|
| 1614 |
+
"learning_rate": 4.394951923076923e-05,
|
| 1615 |
+
"loss": 0.0175,
|
| 1616 |
+
"step": 2520
|
| 1617 |
+
},
|
| 1618 |
+
{
|
| 1619 |
+
"epoch": 12.16,
|
| 1620 |
+
"learning_rate": 4.392548076923077e-05,
|
| 1621 |
+
"loss": 0.0178,
|
| 1622 |
+
"step": 2530
|
| 1623 |
+
},
|
| 1624 |
+
{
|
| 1625 |
+
"epoch": 12.21,
|
| 1626 |
+
"learning_rate": 4.390144230769231e-05,
|
| 1627 |
+
"loss": 0.0136,
|
| 1628 |
+
"step": 2540
|
| 1629 |
+
},
|
| 1630 |
+
{
|
| 1631 |
+
"epoch": 12.26,
|
| 1632 |
+
"learning_rate": 4.3877403846153845e-05,
|
| 1633 |
+
"loss": 0.0174,
|
| 1634 |
+
"step": 2550
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 12.31,
|
| 1638 |
+
"learning_rate": 4.385336538461539e-05,
|
| 1639 |
+
"loss": 0.0209,
|
| 1640 |
+
"step": 2560
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 12.36,
|
| 1644 |
+
"learning_rate": 4.3829326923076924e-05,
|
| 1645 |
+
"loss": 0.0191,
|
| 1646 |
+
"step": 2570
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 12.4,
|
| 1650 |
+
"learning_rate": 4.380528846153846e-05,
|
| 1651 |
+
"loss": 0.0236,
|
| 1652 |
+
"step": 2580
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 12.45,
|
| 1656 |
+
"learning_rate": 4.3781250000000004e-05,
|
| 1657 |
+
"loss": 0.0187,
|
| 1658 |
+
"step": 2590
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 12.5,
|
| 1662 |
+
"learning_rate": 4.375721153846154e-05,
|
| 1663 |
+
"loss": 0.0182,
|
| 1664 |
+
"step": 2600
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 12.55,
|
| 1668 |
+
"learning_rate": 4.3733173076923076e-05,
|
| 1669 |
+
"loss": 0.0142,
|
| 1670 |
+
"step": 2610
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"epoch": 12.6,
|
| 1674 |
+
"learning_rate": 4.370913461538462e-05,
|
| 1675 |
+
"loss": 0.0159,
|
| 1676 |
+
"step": 2620
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 12.64,
|
| 1680 |
+
"learning_rate": 4.3685096153846156e-05,
|
| 1681 |
+
"loss": 0.0178,
|
| 1682 |
+
"step": 2630
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 12.69,
|
| 1686 |
+
"learning_rate": 4.366105769230769e-05,
|
| 1687 |
+
"loss": 0.018,
|
| 1688 |
+
"step": 2640
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"epoch": 12.74,
|
| 1692 |
+
"learning_rate": 4.3637019230769235e-05,
|
| 1693 |
+
"loss": 0.0208,
|
| 1694 |
+
"step": 2650
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 12.79,
|
| 1698 |
+
"learning_rate": 4.361298076923077e-05,
|
| 1699 |
+
"loss": 0.0181,
|
| 1700 |
+
"step": 2660
|
| 1701 |
+
},
|
| 1702 |
+
{
|
| 1703 |
+
"epoch": 12.84,
|
| 1704 |
+
"learning_rate": 4.358894230769231e-05,
|
| 1705 |
+
"loss": 0.0179,
|
| 1706 |
+
"step": 2670
|
| 1707 |
+
},
|
| 1708 |
+
{
|
| 1709 |
+
"epoch": 12.88,
|
| 1710 |
+
"learning_rate": 4.356490384615385e-05,
|
| 1711 |
+
"loss": 0.019,
|
| 1712 |
+
"step": 2680
|
| 1713 |
+
},
|
| 1714 |
+
{
|
| 1715 |
+
"epoch": 12.93,
|
| 1716 |
+
"learning_rate": 4.354086538461539e-05,
|
| 1717 |
+
"loss": 0.0203,
|
| 1718 |
+
"step": 2690
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 12.98,
|
| 1722 |
+
"learning_rate": 4.3516826923076923e-05,
|
| 1723 |
+
"loss": 0.0197,
|
| 1724 |
+
"step": 2700
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 13.0,
|
| 1728 |
+
"eval_loss": 0.030876118689775467,
|
| 1729 |
+
"eval_runtime": 36.3232,
|
| 1730 |
+
"eval_samples_per_second": 17.867,
|
| 1731 |
+
"eval_steps_per_second": 2.258,
|
| 1732 |
+
"step": 2704
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 13.03,
|
| 1736 |
+
"learning_rate": 4.3492788461538467e-05,
|
| 1737 |
+
"loss": 0.0169,
|
| 1738 |
+
"step": 2710
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 13.08,
|
| 1742 |
+
"learning_rate": 4.346875e-05,
|
| 1743 |
+
"loss": 0.0151,
|
| 1744 |
+
"step": 2720
|
| 1745 |
+
},
|
| 1746 |
+
{
|
| 1747 |
+
"epoch": 13.12,
|
| 1748 |
+
"learning_rate": 4.344471153846154e-05,
|
| 1749 |
+
"loss": 0.0147,
|
| 1750 |
+
"step": 2730
|
| 1751 |
+
},
|
| 1752 |
+
{
|
| 1753 |
+
"epoch": 13.17,
|
| 1754 |
+
"learning_rate": 4.342067307692308e-05,
|
| 1755 |
+
"loss": 0.0173,
|
| 1756 |
+
"step": 2740
|
| 1757 |
+
},
|
| 1758 |
+
{
|
| 1759 |
+
"epoch": 13.22,
|
| 1760 |
+
"learning_rate": 4.339663461538462e-05,
|
| 1761 |
+
"loss": 0.0183,
|
| 1762 |
+
"step": 2750
|
| 1763 |
+
},
|
| 1764 |
+
{
|
| 1765 |
+
"epoch": 13.27,
|
| 1766 |
+
"learning_rate": 4.3372596153846155e-05,
|
| 1767 |
+
"loss": 0.0158,
|
| 1768 |
+
"step": 2760
|
| 1769 |
+
},
|
| 1770 |
+
{
|
| 1771 |
+
"epoch": 13.32,
|
| 1772 |
+
"learning_rate": 4.33485576923077e-05,
|
| 1773 |
+
"loss": 0.0146,
|
| 1774 |
+
"step": 2770
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 13.37,
|
| 1778 |
+
"learning_rate": 4.3324519230769234e-05,
|
| 1779 |
+
"loss": 0.0236,
|
| 1780 |
+
"step": 2780
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 13.41,
|
| 1784 |
+
"learning_rate": 4.330048076923077e-05,
|
| 1785 |
+
"loss": 0.0154,
|
| 1786 |
+
"step": 2790
|
| 1787 |
+
},
|
| 1788 |
+
{
|
| 1789 |
+
"epoch": 13.46,
|
| 1790 |
+
"learning_rate": 4.3276442307692314e-05,
|
| 1791 |
+
"loss": 0.0166,
|
| 1792 |
+
"step": 2800
|
| 1793 |
+
},
|
| 1794 |
+
{
|
| 1795 |
+
"epoch": 13.51,
|
| 1796 |
+
"learning_rate": 4.325240384615385e-05,
|
| 1797 |
+
"loss": 0.018,
|
| 1798 |
+
"step": 2810
|
| 1799 |
+
},
|
| 1800 |
+
{
|
| 1801 |
+
"epoch": 13.56,
|
| 1802 |
+
"learning_rate": 4.3228365384615386e-05,
|
| 1803 |
+
"loss": 0.0166,
|
| 1804 |
+
"step": 2820
|
| 1805 |
+
},
|
| 1806 |
+
{
|
| 1807 |
+
"epoch": 13.61,
|
| 1808 |
+
"learning_rate": 4.320432692307693e-05,
|
| 1809 |
+
"loss": 0.0177,
|
| 1810 |
+
"step": 2830
|
| 1811 |
+
},
|
| 1812 |
+
{
|
| 1813 |
+
"epoch": 13.65,
|
| 1814 |
+
"learning_rate": 4.3180288461538466e-05,
|
| 1815 |
+
"loss": 0.0201,
|
| 1816 |
+
"step": 2840
|
| 1817 |
+
},
|
| 1818 |
+
{
|
| 1819 |
+
"epoch": 13.7,
|
| 1820 |
+
"learning_rate": 4.315625e-05,
|
| 1821 |
+
"loss": 0.02,
|
| 1822 |
+
"step": 2850
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 13.75,
|
| 1826 |
+
"learning_rate": 4.3132211538461545e-05,
|
| 1827 |
+
"loss": 0.0243,
|
| 1828 |
+
"step": 2860
|
| 1829 |
+
},
|
| 1830 |
+
{
|
| 1831 |
+
"epoch": 13.8,
|
| 1832 |
+
"learning_rate": 4.310817307692308e-05,
|
| 1833 |
+
"loss": 0.0198,
|
| 1834 |
+
"step": 2870
|
| 1835 |
+
},
|
| 1836 |
+
{
|
| 1837 |
+
"epoch": 13.85,
|
| 1838 |
+
"learning_rate": 4.308413461538462e-05,
|
| 1839 |
+
"loss": 0.0182,
|
| 1840 |
+
"step": 2880
|
| 1841 |
+
},
|
| 1842 |
+
{
|
| 1843 |
+
"epoch": 13.89,
|
| 1844 |
+
"learning_rate": 4.306009615384616e-05,
|
| 1845 |
+
"loss": 0.0168,
|
| 1846 |
+
"step": 2890
|
| 1847 |
+
},
|
| 1848 |
+
{
|
| 1849 |
+
"epoch": 13.94,
|
| 1850 |
+
"learning_rate": 4.30360576923077e-05,
|
| 1851 |
+
"loss": 0.0161,
|
| 1852 |
+
"step": 2900
|
| 1853 |
+
},
|
| 1854 |
+
{
|
| 1855 |
+
"epoch": 13.99,
|
| 1856 |
+
"learning_rate": 4.3012019230769233e-05,
|
| 1857 |
+
"loss": 0.0154,
|
| 1858 |
+
"step": 2910
|
| 1859 |
+
},
|
| 1860 |
+
{
|
| 1861 |
+
"epoch": 14.0,
|
| 1862 |
+
"eval_loss": 0.031427882611751556,
|
| 1863 |
+
"eval_runtime": 36.8364,
|
| 1864 |
+
"eval_samples_per_second": 17.618,
|
| 1865 |
+
"eval_steps_per_second": 2.226,
|
| 1866 |
+
"step": 2912
|
| 1867 |
+
},
|
| 1868 |
+
{
|
| 1869 |
+
"epoch": 14.04,
|
| 1870 |
+
"learning_rate": 4.2987980769230777e-05,
|
| 1871 |
+
"loss": 0.0116,
|
| 1872 |
+
"step": 2920
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"epoch": 14.09,
|
| 1876 |
+
"learning_rate": 4.296394230769231e-05,
|
| 1877 |
+
"loss": 0.0126,
|
| 1878 |
+
"step": 2930
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 14.13,
|
| 1882 |
+
"learning_rate": 4.293990384615385e-05,
|
| 1883 |
+
"loss": 0.0153,
|
| 1884 |
+
"step": 2940
|
| 1885 |
+
},
|
| 1886 |
+
{
|
| 1887 |
+
"epoch": 14.18,
|
| 1888 |
+
"learning_rate": 4.291586538461539e-05,
|
| 1889 |
+
"loss": 0.0166,
|
| 1890 |
+
"step": 2950
|
| 1891 |
+
},
|
| 1892 |
+
{
|
| 1893 |
+
"epoch": 14.23,
|
| 1894 |
+
"learning_rate": 4.289182692307693e-05,
|
| 1895 |
+
"loss": 0.0139,
|
| 1896 |
+
"step": 2960
|
| 1897 |
+
},
|
| 1898 |
+
{
|
| 1899 |
+
"epoch": 14.28,
|
| 1900 |
+
"learning_rate": 4.2867788461538465e-05,
|
| 1901 |
+
"loss": 0.0149,
|
| 1902 |
+
"step": 2970
|
| 1903 |
+
},
|
| 1904 |
+
{
|
| 1905 |
+
"epoch": 14.33,
|
| 1906 |
+
"learning_rate": 4.284375000000001e-05,
|
| 1907 |
+
"loss": 0.0205,
|
| 1908 |
+
"step": 2980
|
| 1909 |
+
},
|
| 1910 |
+
{
|
| 1911 |
+
"epoch": 14.38,
|
| 1912 |
+
"learning_rate": 4.2819711538461544e-05,
|
| 1913 |
+
"loss": 0.0156,
|
| 1914 |
+
"step": 2990
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 14.42,
|
| 1918 |
+
"learning_rate": 4.2795673076923074e-05,
|
| 1919 |
+
"loss": 0.0158,
|
| 1920 |
+
"step": 3000
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 14.47,
|
| 1924 |
+
"learning_rate": 4.277163461538462e-05,
|
| 1925 |
+
"loss": 0.0158,
|
| 1926 |
+
"step": 3010
|
| 1927 |
+
},
|
| 1928 |
+
{
|
| 1929 |
+
"epoch": 14.52,
|
| 1930 |
+
"learning_rate": 4.274759615384615e-05,
|
| 1931 |
+
"loss": 0.0208,
|
| 1932 |
+
"step": 3020
|
| 1933 |
+
},
|
| 1934 |
+
{
|
| 1935 |
+
"epoch": 14.57,
|
| 1936 |
+
"learning_rate": 4.272355769230769e-05,
|
| 1937 |
+
"loss": 0.0187,
|
| 1938 |
+
"step": 3030
|
| 1939 |
+
},
|
| 1940 |
+
{
|
| 1941 |
+
"epoch": 14.62,
|
| 1942 |
+
"learning_rate": 4.269951923076923e-05,
|
| 1943 |
+
"loss": 0.016,
|
| 1944 |
+
"step": 3040
|
| 1945 |
+
},
|
| 1946 |
+
{
|
| 1947 |
+
"epoch": 14.66,
|
| 1948 |
+
"learning_rate": 4.267548076923077e-05,
|
| 1949 |
+
"loss": 0.0163,
|
| 1950 |
+
"step": 3050
|
| 1951 |
+
},
|
| 1952 |
+
{
|
| 1953 |
+
"epoch": 14.71,
|
| 1954 |
+
"learning_rate": 4.2651442307692305e-05,
|
| 1955 |
+
"loss": 0.0152,
|
| 1956 |
+
"step": 3060
|
| 1957 |
+
},
|
| 1958 |
+
{
|
| 1959 |
+
"epoch": 14.76,
|
| 1960 |
+
"learning_rate": 4.262740384615385e-05,
|
| 1961 |
+
"loss": 0.016,
|
| 1962 |
+
"step": 3070
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 14.81,
|
| 1966 |
+
"learning_rate": 4.2603365384615385e-05,
|
| 1967 |
+
"loss": 0.0124,
|
| 1968 |
+
"step": 3080
|
| 1969 |
+
},
|
| 1970 |
+
{
|
| 1971 |
+
"epoch": 14.86,
|
| 1972 |
+
"learning_rate": 4.257932692307692e-05,
|
| 1973 |
+
"loss": 0.0159,
|
| 1974 |
+
"step": 3090
|
| 1975 |
+
},
|
| 1976 |
+
{
|
| 1977 |
+
"epoch": 14.9,
|
| 1978 |
+
"learning_rate": 4.2555288461538464e-05,
|
| 1979 |
+
"loss": 0.0187,
|
| 1980 |
+
"step": 3100
|
| 1981 |
+
},
|
| 1982 |
+
{
|
| 1983 |
+
"epoch": 14.95,
|
| 1984 |
+
"learning_rate": 4.253125e-05,
|
| 1985 |
+
"loss": 0.0201,
|
| 1986 |
+
"step": 3110
|
| 1987 |
+
},
|
| 1988 |
+
{
|
| 1989 |
+
"epoch": 15.0,
|
| 1990 |
+
"learning_rate": 4.250721153846154e-05,
|
| 1991 |
+
"loss": 0.0123,
|
| 1992 |
+
"step": 3120
|
| 1993 |
+
},
|
| 1994 |
+
{
|
| 1995 |
+
"epoch": 15.0,
|
| 1996 |
+
"eval_loss": 0.03161365166306496,
|
| 1997 |
+
"eval_runtime": 36.679,
|
| 1998 |
+
"eval_samples_per_second": 17.694,
|
| 1999 |
+
"eval_steps_per_second": 2.236,
|
| 2000 |
+
"step": 3120
|
| 2001 |
+
},
|
| 2002 |
+
{
|
| 2003 |
+
"epoch": 15.05,
|
| 2004 |
+
"learning_rate": 4.248317307692308e-05,
|
| 2005 |
+
"loss": 0.0139,
|
| 2006 |
+
"step": 3130
|
| 2007 |
+
},
|
| 2008 |
+
{
|
| 2009 |
+
"epoch": 15.1,
|
| 2010 |
+
"learning_rate": 4.2459134615384616e-05,
|
| 2011 |
+
"loss": 0.0143,
|
| 2012 |
+
"step": 3140
|
| 2013 |
+
},
|
| 2014 |
+
{
|
| 2015 |
+
"epoch": 15.14,
|
| 2016 |
+
"learning_rate": 4.243509615384615e-05,
|
| 2017 |
+
"loss": 0.0156,
|
| 2018 |
+
"step": 3150
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 15.19,
|
| 2022 |
+
"learning_rate": 4.2411057692307696e-05,
|
| 2023 |
+
"loss": 0.0134,
|
| 2024 |
+
"step": 3160
|
| 2025 |
+
},
|
| 2026 |
+
{
|
| 2027 |
+
"epoch": 15.24,
|
| 2028 |
+
"learning_rate": 4.238701923076923e-05,
|
| 2029 |
+
"loss": 0.0168,
|
| 2030 |
+
"step": 3170
|
| 2031 |
+
},
|
| 2032 |
+
{
|
| 2033 |
+
"epoch": 15.29,
|
| 2034 |
+
"learning_rate": 4.236298076923077e-05,
|
| 2035 |
+
"loss": 0.0119,
|
| 2036 |
+
"step": 3180
|
| 2037 |
+
},
|
| 2038 |
+
{
|
| 2039 |
+
"epoch": 15.34,
|
| 2040 |
+
"learning_rate": 4.233894230769231e-05,
|
| 2041 |
+
"loss": 0.0135,
|
| 2042 |
+
"step": 3190
|
| 2043 |
+
},
|
| 2044 |
+
{
|
| 2045 |
+
"epoch": 15.38,
|
| 2046 |
+
"learning_rate": 4.231490384615385e-05,
|
| 2047 |
+
"loss": 0.0159,
|
| 2048 |
+
"step": 3200
|
| 2049 |
+
},
|
| 2050 |
+
{
|
| 2051 |
+
"epoch": 15.43,
|
| 2052 |
+
"learning_rate": 4.2290865384615384e-05,
|
| 2053 |
+
"loss": 0.0122,
|
| 2054 |
+
"step": 3210
|
| 2055 |
+
},
|
| 2056 |
+
{
|
| 2057 |
+
"epoch": 15.48,
|
| 2058 |
+
"learning_rate": 4.226682692307693e-05,
|
| 2059 |
+
"loss": 0.0167,
|
| 2060 |
+
"step": 3220
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 15.53,
|
| 2064 |
+
"learning_rate": 4.224278846153846e-05,
|
| 2065 |
+
"loss": 0.0142,
|
| 2066 |
+
"step": 3230
|
| 2067 |
+
},
|
| 2068 |
+
{
|
| 2069 |
+
"epoch": 15.58,
|
| 2070 |
+
"learning_rate": 4.221875e-05,
|
| 2071 |
+
"loss": 0.0159,
|
| 2072 |
+
"step": 3240
|
| 2073 |
+
},
|
| 2074 |
+
{
|
| 2075 |
+
"epoch": 15.62,
|
| 2076 |
+
"learning_rate": 4.219471153846154e-05,
|
| 2077 |
+
"loss": 0.0139,
|
| 2078 |
+
"step": 3250
|
| 2079 |
+
},
|
| 2080 |
+
{
|
| 2081 |
+
"epoch": 15.67,
|
| 2082 |
+
"learning_rate": 4.217067307692308e-05,
|
| 2083 |
+
"loss": 0.0111,
|
| 2084 |
+
"step": 3260
|
| 2085 |
+
},
|
| 2086 |
+
{
|
| 2087 |
+
"epoch": 15.72,
|
| 2088 |
+
"learning_rate": 4.2146634615384615e-05,
|
| 2089 |
+
"loss": 0.0116,
|
| 2090 |
+
"step": 3270
|
| 2091 |
+
},
|
| 2092 |
+
{
|
| 2093 |
+
"epoch": 15.77,
|
| 2094 |
+
"learning_rate": 4.212259615384616e-05,
|
| 2095 |
+
"loss": 0.0171,
|
| 2096 |
+
"step": 3280
|
| 2097 |
+
},
|
| 2098 |
+
{
|
| 2099 |
+
"epoch": 15.82,
|
| 2100 |
+
"learning_rate": 4.2098557692307695e-05,
|
| 2101 |
+
"loss": 0.0125,
|
| 2102 |
+
"step": 3290
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 15.87,
|
| 2106 |
+
"learning_rate": 4.207451923076923e-05,
|
| 2107 |
+
"loss": 0.0187,
|
| 2108 |
+
"step": 3300
|
| 2109 |
+
},
|
| 2110 |
+
{
|
| 2111 |
+
"epoch": 15.91,
|
| 2112 |
+
"learning_rate": 4.2050480769230774e-05,
|
| 2113 |
+
"loss": 0.0113,
|
| 2114 |
+
"step": 3310
|
| 2115 |
+
},
|
| 2116 |
+
{
|
| 2117 |
+
"epoch": 15.96,
|
| 2118 |
+
"learning_rate": 4.202644230769231e-05,
|
| 2119 |
+
"loss": 0.0128,
|
| 2120 |
+
"step": 3320
|
| 2121 |
+
},
|
| 2122 |
+
{
|
| 2123 |
+
"epoch": 16.0,
|
| 2124 |
+
"eval_loss": 0.03363659605383873,
|
| 2125 |
+
"eval_runtime": 36.1996,
|
| 2126 |
+
"eval_samples_per_second": 17.928,
|
| 2127 |
+
"eval_steps_per_second": 2.265,
|
| 2128 |
+
"step": 3328
|
| 2129 |
+
},
|
| 2130 |
+
{
|
| 2131 |
+
"epoch": 16.01,
|
| 2132 |
+
"learning_rate": 4.200240384615385e-05,
|
| 2133 |
+
"loss": 0.0111,
|
| 2134 |
+
"step": 3330
|
| 2135 |
+
},
|
| 2136 |
+
{
|
| 2137 |
+
"epoch": 16.06,
|
| 2138 |
+
"learning_rate": 4.197836538461539e-05,
|
| 2139 |
+
"loss": 0.0129,
|
| 2140 |
+
"step": 3340
|
| 2141 |
+
},
|
| 2142 |
+
{
|
| 2143 |
+
"epoch": 16.11,
|
| 2144 |
+
"learning_rate": 4.1954326923076926e-05,
|
| 2145 |
+
"loss": 0.0149,
|
| 2146 |
+
"step": 3350
|
| 2147 |
+
},
|
| 2148 |
+
{
|
| 2149 |
+
"epoch": 16.15,
|
| 2150 |
+
"learning_rate": 4.193028846153846e-05,
|
| 2151 |
+
"loss": 0.0091,
|
| 2152 |
+
"step": 3360
|
| 2153 |
+
},
|
| 2154 |
+
{
|
| 2155 |
+
"epoch": 16.2,
|
| 2156 |
+
"learning_rate": 4.1906250000000006e-05,
|
| 2157 |
+
"loss": 0.0126,
|
| 2158 |
+
"step": 3370
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 16.25,
|
| 2162 |
+
"learning_rate": 4.188221153846154e-05,
|
| 2163 |
+
"loss": 0.0103,
|
| 2164 |
+
"step": 3380
|
| 2165 |
+
},
|
| 2166 |
+
{
|
| 2167 |
+
"epoch": 16.3,
|
| 2168 |
+
"learning_rate": 4.185817307692308e-05,
|
| 2169 |
+
"loss": 0.0146,
|
| 2170 |
+
"step": 3390
|
| 2171 |
+
},
|
| 2172 |
+
{
|
| 2173 |
+
"epoch": 16.35,
|
| 2174 |
+
"learning_rate": 4.183413461538462e-05,
|
| 2175 |
+
"loss": 0.0134,
|
| 2176 |
+
"step": 3400
|
| 2177 |
+
},
|
| 2178 |
+
{
|
| 2179 |
+
"epoch": 16.39,
|
| 2180 |
+
"learning_rate": 4.181009615384616e-05,
|
| 2181 |
+
"loss": 0.0124,
|
| 2182 |
+
"step": 3410
|
| 2183 |
+
},
|
| 2184 |
+
{
|
| 2185 |
+
"epoch": 16.44,
|
| 2186 |
+
"learning_rate": 4.1786057692307694e-05,
|
| 2187 |
+
"loss": 0.0127,
|
| 2188 |
+
"step": 3420
|
| 2189 |
+
},
|
| 2190 |
+
{
|
| 2191 |
+
"epoch": 16.49,
|
| 2192 |
+
"learning_rate": 4.176201923076924e-05,
|
| 2193 |
+
"loss": 0.0165,
|
| 2194 |
+
"step": 3430
|
| 2195 |
+
},
|
| 2196 |
+
{
|
| 2197 |
+
"epoch": 16.54,
|
| 2198 |
+
"learning_rate": 4.173798076923077e-05,
|
| 2199 |
+
"loss": 0.0154,
|
| 2200 |
+
"step": 3440
|
| 2201 |
+
},
|
| 2202 |
+
{
|
| 2203 |
+
"epoch": 16.59,
|
| 2204 |
+
"learning_rate": 4.171394230769231e-05,
|
| 2205 |
+
"loss": 0.0126,
|
| 2206 |
+
"step": 3450
|
| 2207 |
+
},
|
| 2208 |
+
{
|
| 2209 |
+
"epoch": 16.63,
|
| 2210 |
+
"learning_rate": 4.168990384615385e-05,
|
| 2211 |
+
"loss": 0.013,
|
| 2212 |
+
"step": 3460
|
| 2213 |
+
},
|
| 2214 |
+
{
|
| 2215 |
+
"epoch": 16.68,
|
| 2216 |
+
"learning_rate": 4.166586538461539e-05,
|
| 2217 |
+
"loss": 0.0146,
|
| 2218 |
+
"step": 3470
|
| 2219 |
+
},
|
| 2220 |
+
{
|
| 2221 |
+
"epoch": 16.73,
|
| 2222 |
+
"learning_rate": 4.1641826923076925e-05,
|
| 2223 |
+
"loss": 0.0128,
|
| 2224 |
+
"step": 3480
|
| 2225 |
+
},
|
| 2226 |
+
{
|
| 2227 |
+
"epoch": 16.78,
|
| 2228 |
+
"learning_rate": 4.161778846153846e-05,
|
| 2229 |
+
"loss": 0.0119,
|
| 2230 |
+
"step": 3490
|
| 2231 |
+
},
|
| 2232 |
+
{
|
| 2233 |
+
"epoch": 16.83,
|
| 2234 |
+
"learning_rate": 4.1593750000000005e-05,
|
| 2235 |
+
"loss": 0.0114,
|
| 2236 |
+
"step": 3500
|
| 2237 |
+
},
|
| 2238 |
+
{
|
| 2239 |
+
"epoch": 16.88,
|
| 2240 |
+
"learning_rate": 4.156971153846154e-05,
|
| 2241 |
+
"loss": 0.0125,
|
| 2242 |
+
"step": 3510
|
| 2243 |
+
},
|
| 2244 |
+
{
|
| 2245 |
+
"epoch": 16.92,
|
| 2246 |
+
"learning_rate": 4.154567307692308e-05,
|
| 2247 |
+
"loss": 0.016,
|
| 2248 |
+
"step": 3520
|
| 2249 |
+
},
|
| 2250 |
+
{
|
| 2251 |
+
"epoch": 16.97,
|
| 2252 |
+
"learning_rate": 4.152163461538462e-05,
|
| 2253 |
+
"loss": 0.0136,
|
| 2254 |
+
"step": 3530
|
| 2255 |
+
},
|
| 2256 |
+
{
|
| 2257 |
+
"epoch": 17.0,
|
| 2258 |
+
"eval_loss": 0.03450627624988556,
|
| 2259 |
+
"eval_runtime": 36.2674,
|
| 2260 |
+
"eval_samples_per_second": 17.895,
|
| 2261 |
+
"eval_steps_per_second": 2.261,
|
| 2262 |
+
"step": 3536
|
| 2263 |
+
},
|
| 2264 |
+
{
|
| 2265 |
+
"epoch": 17.02,
|
| 2266 |
+
"learning_rate": 4.149759615384616e-05,
|
| 2267 |
+
"loss": 0.02,
|
| 2268 |
+
"step": 3540
|
| 2269 |
+
},
|
| 2270 |
+
{
|
| 2271 |
+
"epoch": 17.07,
|
| 2272 |
+
"learning_rate": 4.147355769230769e-05,
|
| 2273 |
+
"loss": 0.012,
|
| 2274 |
+
"step": 3550
|
| 2275 |
+
},
|
| 2276 |
+
{
|
| 2277 |
+
"epoch": 17.12,
|
| 2278 |
+
"learning_rate": 4.1449519230769236e-05,
|
| 2279 |
+
"loss": 0.0096,
|
| 2280 |
+
"step": 3560
|
| 2281 |
+
},
|
| 2282 |
+
{
|
| 2283 |
+
"epoch": 17.16,
|
| 2284 |
+
"learning_rate": 4.142548076923077e-05,
|
| 2285 |
+
"loss": 0.0141,
|
| 2286 |
+
"step": 3570
|
| 2287 |
+
},
|
| 2288 |
+
{
|
| 2289 |
+
"epoch": 17.21,
|
| 2290 |
+
"learning_rate": 4.140144230769231e-05,
|
| 2291 |
+
"loss": 0.0109,
|
| 2292 |
+
"step": 3580
|
| 2293 |
+
},
|
| 2294 |
+
{
|
| 2295 |
+
"epoch": 17.26,
|
| 2296 |
+
"learning_rate": 4.137740384615385e-05,
|
| 2297 |
+
"loss": 0.013,
|
| 2298 |
+
"step": 3590
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 17.31,
|
| 2302 |
+
"learning_rate": 4.135336538461539e-05,
|
| 2303 |
+
"loss": 0.0121,
|
| 2304 |
+
"step": 3600
|
| 2305 |
+
},
|
| 2306 |
+
{
|
| 2307 |
+
"epoch": 17.36,
|
| 2308 |
+
"learning_rate": 4.1329326923076925e-05,
|
| 2309 |
+
"loss": 0.0144,
|
| 2310 |
+
"step": 3610
|
| 2311 |
+
},
|
| 2312 |
+
{
|
| 2313 |
+
"epoch": 17.4,
|
| 2314 |
+
"learning_rate": 4.130528846153847e-05,
|
| 2315 |
+
"loss": 0.0122,
|
| 2316 |
+
"step": 3620
|
| 2317 |
+
},
|
| 2318 |
+
{
|
| 2319 |
+
"epoch": 17.45,
|
| 2320 |
+
"learning_rate": 4.1281250000000004e-05,
|
| 2321 |
+
"loss": 0.0151,
|
| 2322 |
+
"step": 3630
|
| 2323 |
+
},
|
| 2324 |
+
{
|
| 2325 |
+
"epoch": 17.5,
|
| 2326 |
+
"learning_rate": 4.125721153846154e-05,
|
| 2327 |
+
"loss": 0.0109,
|
| 2328 |
+
"step": 3640
|
| 2329 |
+
},
|
| 2330 |
+
{
|
| 2331 |
+
"epoch": 17.55,
|
| 2332 |
+
"learning_rate": 4.1233173076923077e-05,
|
| 2333 |
+
"loss": 0.0117,
|
| 2334 |
+
"step": 3650
|
| 2335 |
+
},
|
| 2336 |
+
{
|
| 2337 |
+
"epoch": 17.6,
|
| 2338 |
+
"learning_rate": 4.120913461538461e-05,
|
| 2339 |
+
"loss": 0.0118,
|
| 2340 |
+
"step": 3660
|
| 2341 |
+
},
|
| 2342 |
+
{
|
| 2343 |
+
"epoch": 17.64,
|
| 2344 |
+
"learning_rate": 4.1185096153846156e-05,
|
| 2345 |
+
"loss": 0.0117,
|
| 2346 |
+
"step": 3670
|
| 2347 |
+
},
|
| 2348 |
+
{
|
| 2349 |
+
"epoch": 17.69,
|
| 2350 |
+
"learning_rate": 4.116105769230769e-05,
|
| 2351 |
+
"loss": 0.0156,
|
| 2352 |
+
"step": 3680
|
| 2353 |
+
},
|
| 2354 |
+
{
|
| 2355 |
+
"epoch": 17.74,
|
| 2356 |
+
"learning_rate": 4.113701923076923e-05,
|
| 2357 |
+
"loss": 0.0168,
|
| 2358 |
+
"step": 3690
|
| 2359 |
+
},
|
| 2360 |
+
{
|
| 2361 |
+
"epoch": 17.79,
|
| 2362 |
+
"learning_rate": 4.111298076923077e-05,
|
| 2363 |
+
"loss": 0.0141,
|
| 2364 |
+
"step": 3700
|
| 2365 |
+
},
|
| 2366 |
+
{
|
| 2367 |
+
"epoch": 17.84,
|
| 2368 |
+
"learning_rate": 4.108894230769231e-05,
|
| 2369 |
+
"loss": 0.0131,
|
| 2370 |
+
"step": 3710
|
| 2371 |
+
},
|
| 2372 |
+
{
|
| 2373 |
+
"epoch": 17.88,
|
| 2374 |
+
"learning_rate": 4.1064903846153844e-05,
|
| 2375 |
+
"loss": 0.011,
|
| 2376 |
+
"step": 3720
|
| 2377 |
+
},
|
| 2378 |
+
{
|
| 2379 |
+
"epoch": 17.93,
|
| 2380 |
+
"learning_rate": 4.104086538461539e-05,
|
| 2381 |
+
"loss": 0.0113,
|
| 2382 |
+
"step": 3730
|
| 2383 |
+
},
|
| 2384 |
+
{
|
| 2385 |
+
"epoch": 17.98,
|
| 2386 |
+
"learning_rate": 4.1016826923076924e-05,
|
| 2387 |
+
"loss": 0.0124,
|
| 2388 |
+
"step": 3740
|
| 2389 |
+
},
|
| 2390 |
+
{
|
| 2391 |
+
"epoch": 18.0,
|
| 2392 |
+
"eval_loss": 0.036256324499845505,
|
| 2393 |
+
"eval_runtime": 37.0725,
|
| 2394 |
+
"eval_samples_per_second": 17.506,
|
| 2395 |
+
"eval_steps_per_second": 2.212,
|
| 2396 |
+
"step": 3744
|
| 2397 |
+
},
|
| 2398 |
+
{
|
| 2399 |
+
"epoch": 18.03,
|
| 2400 |
+
"learning_rate": 4.099278846153846e-05,
|
| 2401 |
+
"loss": 0.0102,
|
| 2402 |
+
"step": 3750
|
| 2403 |
+
},
|
| 2404 |
+
{
|
| 2405 |
+
"epoch": 18.08,
|
| 2406 |
+
"learning_rate": 4.096875e-05,
|
| 2407 |
+
"loss": 0.0132,
|
| 2408 |
+
"step": 3760
|
| 2409 |
+
},
|
| 2410 |
+
{
|
| 2411 |
+
"epoch": 18.12,
|
| 2412 |
+
"learning_rate": 4.094471153846154e-05,
|
| 2413 |
+
"loss": 0.0107,
|
| 2414 |
+
"step": 3770
|
| 2415 |
+
},
|
| 2416 |
+
{
|
| 2417 |
+
"epoch": 18.17,
|
| 2418 |
+
"learning_rate": 4.0920673076923076e-05,
|
| 2419 |
+
"loss": 0.01,
|
| 2420 |
+
"step": 3780
|
| 2421 |
+
},
|
| 2422 |
+
{
|
| 2423 |
+
"epoch": 18.22,
|
| 2424 |
+
"learning_rate": 4.089663461538462e-05,
|
| 2425 |
+
"loss": 0.0119,
|
| 2426 |
+
"step": 3790
|
| 2427 |
+
},
|
| 2428 |
+
{
|
| 2429 |
+
"epoch": 18.27,
|
| 2430 |
+
"learning_rate": 4.0872596153846155e-05,
|
| 2431 |
+
"loss": 0.0115,
|
| 2432 |
+
"step": 3800
|
| 2433 |
+
},
|
| 2434 |
+
{
|
| 2435 |
+
"epoch": 18.32,
|
| 2436 |
+
"learning_rate": 4.084855769230769e-05,
|
| 2437 |
+
"loss": 0.0111,
|
| 2438 |
+
"step": 3810
|
| 2439 |
+
},
|
| 2440 |
+
{
|
| 2441 |
+
"epoch": 18.37,
|
| 2442 |
+
"learning_rate": 4.0824519230769235e-05,
|
| 2443 |
+
"loss": 0.013,
|
| 2444 |
+
"step": 3820
|
| 2445 |
+
},
|
| 2446 |
+
{
|
| 2447 |
+
"epoch": 18.41,
|
| 2448 |
+
"learning_rate": 4.080048076923077e-05,
|
| 2449 |
+
"loss": 0.0093,
|
| 2450 |
+
"step": 3830
|
| 2451 |
+
},
|
| 2452 |
+
{
|
| 2453 |
+
"epoch": 18.46,
|
| 2454 |
+
"learning_rate": 4.077644230769231e-05,
|
| 2455 |
+
"loss": 0.0108,
|
| 2456 |
+
"step": 3840
|
| 2457 |
+
},
|
| 2458 |
+
{
|
| 2459 |
+
"epoch": 18.51,
|
| 2460 |
+
"learning_rate": 4.075240384615385e-05,
|
| 2461 |
+
"loss": 0.0111,
|
| 2462 |
+
"step": 3850
|
| 2463 |
+
},
|
| 2464 |
+
{
|
| 2465 |
+
"epoch": 18.56,
|
| 2466 |
+
"learning_rate": 4.0728365384615387e-05,
|
| 2467 |
+
"loss": 0.0093,
|
| 2468 |
+
"step": 3860
|
| 2469 |
+
},
|
| 2470 |
+
{
|
| 2471 |
+
"epoch": 18.61,
|
| 2472 |
+
"learning_rate": 4.070432692307692e-05,
|
| 2473 |
+
"loss": 0.0111,
|
| 2474 |
+
"step": 3870
|
| 2475 |
+
},
|
| 2476 |
+
{
|
| 2477 |
+
"epoch": 18.65,
|
| 2478 |
+
"learning_rate": 4.0680288461538466e-05,
|
| 2479 |
+
"loss": 0.0124,
|
| 2480 |
+
"step": 3880
|
| 2481 |
+
},
|
| 2482 |
+
{
|
| 2483 |
+
"epoch": 18.7,
|
| 2484 |
+
"learning_rate": 4.065625e-05,
|
| 2485 |
+
"loss": 0.0126,
|
| 2486 |
+
"step": 3890
|
| 2487 |
+
},
|
| 2488 |
+
{
|
| 2489 |
+
"epoch": 18.75,
|
| 2490 |
+
"learning_rate": 4.063221153846154e-05,
|
| 2491 |
+
"loss": 0.0137,
|
| 2492 |
+
"step": 3900
|
| 2493 |
+
},
|
| 2494 |
+
{
|
| 2495 |
+
"epoch": 18.8,
|
| 2496 |
+
"learning_rate": 4.060817307692308e-05,
|
| 2497 |
+
"loss": 0.013,
|
| 2498 |
+
"step": 3910
|
| 2499 |
+
},
|
| 2500 |
+
{
|
| 2501 |
+
"epoch": 18.85,
|
| 2502 |
+
"learning_rate": 4.058413461538462e-05,
|
| 2503 |
+
"loss": 0.0106,
|
| 2504 |
+
"step": 3920
|
| 2505 |
+
},
|
| 2506 |
+
{
|
| 2507 |
+
"epoch": 18.89,
|
| 2508 |
+
"learning_rate": 4.0562500000000003e-05,
|
| 2509 |
+
"loss": 0.0139,
|
| 2510 |
+
"step": 3930
|
| 2511 |
+
},
|
| 2512 |
+
{
|
| 2513 |
+
"epoch": 18.94,
|
| 2514 |
+
"learning_rate": 4.053846153846154e-05,
|
| 2515 |
+
"loss": 0.0144,
|
| 2516 |
+
"step": 3940
|
| 2517 |
+
},
|
| 2518 |
+
{
|
| 2519 |
+
"epoch": 18.99,
|
| 2520 |
+
"learning_rate": 4.051442307692308e-05,
|
| 2521 |
+
"loss": 0.0124,
|
| 2522 |
+
"step": 3950
|
| 2523 |
+
},
|
| 2524 |
+
{
|
| 2525 |
+
"epoch": 19.0,
|
| 2526 |
+
"eval_loss": 0.03690133988857269,
|
| 2527 |
+
"eval_runtime": 36.3716,
|
| 2528 |
+
"eval_samples_per_second": 17.844,
|
| 2529 |
+
"eval_steps_per_second": 2.255,
|
| 2530 |
+
"step": 3952
|
| 2531 |
+
},
|
| 2532 |
+
{
|
| 2533 |
+
"epoch": 19.04,
|
| 2534 |
+
"learning_rate": 4.049038461538462e-05,
|
| 2535 |
+
"loss": 0.0086,
|
| 2536 |
+
"step": 3960
|
| 2537 |
+
},
|
| 2538 |
+
{
|
| 2539 |
+
"epoch": 19.09,
|
| 2540 |
+
"learning_rate": 4.0466346153846155e-05,
|
| 2541 |
+
"loss": 0.0082,
|
| 2542 |
+
"step": 3970
|
| 2543 |
+
},
|
| 2544 |
+
{
|
| 2545 |
+
"epoch": 19.13,
|
| 2546 |
+
"learning_rate": 4.04423076923077e-05,
|
| 2547 |
+
"loss": 0.013,
|
| 2548 |
+
"step": 3980
|
| 2549 |
+
},
|
| 2550 |
+
{
|
| 2551 |
+
"epoch": 19.18,
|
| 2552 |
+
"learning_rate": 4.0418269230769235e-05,
|
| 2553 |
+
"loss": 0.0104,
|
| 2554 |
+
"step": 3990
|
| 2555 |
+
},
|
| 2556 |
+
{
|
| 2557 |
+
"epoch": 19.23,
|
| 2558 |
+
"learning_rate": 4.039423076923077e-05,
|
| 2559 |
+
"loss": 0.0083,
|
| 2560 |
+
"step": 4000
|
| 2561 |
+
},
|
| 2562 |
+
{
|
| 2563 |
+
"epoch": 19.28,
|
| 2564 |
+
"learning_rate": 4.0370192307692314e-05,
|
| 2565 |
+
"loss": 0.0122,
|
| 2566 |
+
"step": 4010
|
| 2567 |
+
},
|
| 2568 |
+
{
|
| 2569 |
+
"epoch": 19.33,
|
| 2570 |
+
"learning_rate": 4.034615384615385e-05,
|
| 2571 |
+
"loss": 0.0082,
|
| 2572 |
+
"step": 4020
|
| 2573 |
+
},
|
| 2574 |
+
{
|
| 2575 |
+
"epoch": 19.38,
|
| 2576 |
+
"learning_rate": 4.032211538461539e-05,
|
| 2577 |
+
"loss": 0.0107,
|
| 2578 |
+
"step": 4030
|
| 2579 |
+
},
|
| 2580 |
+
{
|
| 2581 |
+
"epoch": 19.42,
|
| 2582 |
+
"learning_rate": 4.029807692307693e-05,
|
| 2583 |
+
"loss": 0.0063,
|
| 2584 |
+
"step": 4040
|
| 2585 |
+
},
|
| 2586 |
+
{
|
| 2587 |
+
"epoch": 19.47,
|
| 2588 |
+
"learning_rate": 4.0274038461538466e-05,
|
| 2589 |
+
"loss": 0.0081,
|
| 2590 |
+
"step": 4050
|
| 2591 |
+
},
|
| 2592 |
+
{
|
| 2593 |
+
"epoch": 19.52,
|
| 2594 |
+
"learning_rate": 4.025e-05,
|
| 2595 |
+
"loss": 0.0078,
|
| 2596 |
+
"step": 4060
|
| 2597 |
+
},
|
| 2598 |
+
{
|
| 2599 |
+
"epoch": 19.57,
|
| 2600 |
+
"learning_rate": 4.0225961538461546e-05,
|
| 2601 |
+
"loss": 0.0159,
|
| 2602 |
+
"step": 4070
|
| 2603 |
+
},
|
| 2604 |
+
{
|
| 2605 |
+
"epoch": 19.62,
|
| 2606 |
+
"learning_rate": 4.020192307692308e-05,
|
| 2607 |
+
"loss": 0.0099,
|
| 2608 |
+
"step": 4080
|
| 2609 |
+
},
|
| 2610 |
+
{
|
| 2611 |
+
"epoch": 19.66,
|
| 2612 |
+
"learning_rate": 4.017788461538462e-05,
|
| 2613 |
+
"loss": 0.0128,
|
| 2614 |
+
"step": 4090
|
| 2615 |
+
},
|
| 2616 |
+
{
|
| 2617 |
+
"epoch": 19.71,
|
| 2618 |
+
"learning_rate": 4.0153846153846155e-05,
|
| 2619 |
+
"loss": 0.0109,
|
| 2620 |
+
"step": 4100
|
| 2621 |
+
},
|
| 2622 |
+
{
|
| 2623 |
+
"epoch": 19.76,
|
| 2624 |
+
"learning_rate": 4.012980769230769e-05,
|
| 2625 |
+
"loss": 0.0122,
|
| 2626 |
+
"step": 4110
|
| 2627 |
+
},
|
| 2628 |
+
{
|
| 2629 |
+
"epoch": 19.81,
|
| 2630 |
+
"learning_rate": 4.010576923076923e-05,
|
| 2631 |
+
"loss": 0.01,
|
| 2632 |
+
"step": 4120
|
| 2633 |
+
},
|
| 2634 |
+
{
|
| 2635 |
+
"epoch": 19.86,
|
| 2636 |
+
"learning_rate": 4.008173076923077e-05,
|
| 2637 |
+
"loss": 0.0146,
|
| 2638 |
+
"step": 4130
|
| 2639 |
+
},
|
| 2640 |
+
{
|
| 2641 |
+
"epoch": 19.9,
|
| 2642 |
+
"learning_rate": 4.005769230769231e-05,
|
| 2643 |
+
"loss": 0.0099,
|
| 2644 |
+
"step": 4140
|
| 2645 |
+
},
|
| 2646 |
+
{
|
| 2647 |
+
"epoch": 19.95,
|
| 2648 |
+
"learning_rate": 4.003365384615384e-05,
|
| 2649 |
+
"loss": 0.0096,
|
| 2650 |
+
"step": 4150
|
| 2651 |
+
},
|
| 2652 |
+
{
|
| 2653 |
+
"epoch": 20.0,
|
| 2654 |
+
"learning_rate": 4.0009615384615386e-05,
|
| 2655 |
+
"loss": 0.0151,
|
| 2656 |
+
"step": 4160
|
| 2657 |
+
},
|
| 2658 |
+
{
|
| 2659 |
+
"epoch": 20.0,
|
| 2660 |
+
"eval_loss": 0.03828124701976776,
|
| 2661 |
+
"eval_runtime": 36.5852,
|
| 2662 |
+
"eval_samples_per_second": 17.739,
|
| 2663 |
+
"eval_steps_per_second": 2.241,
|
| 2664 |
+
"step": 4160
|
| 2665 |
+
},
|
| 2666 |
+
{
|
| 2667 |
+
"epoch": 20.05,
|
| 2668 |
+
"learning_rate": 3.998557692307692e-05,
|
| 2669 |
+
"loss": 0.0074,
|
| 2670 |
+
"step": 4170
|
| 2671 |
+
},
|
| 2672 |
+
{
|
| 2673 |
+
"epoch": 20.1,
|
| 2674 |
+
"learning_rate": 3.996153846153846e-05,
|
| 2675 |
+
"loss": 0.0118,
|
| 2676 |
+
"step": 4180
|
| 2677 |
+
},
|
| 2678 |
+
{
|
| 2679 |
+
"epoch": 20.14,
|
| 2680 |
+
"learning_rate": 3.99375e-05,
|
| 2681 |
+
"loss": 0.0101,
|
| 2682 |
+
"step": 4190
|
| 2683 |
+
},
|
| 2684 |
+
{
|
| 2685 |
+
"epoch": 20.19,
|
| 2686 |
+
"learning_rate": 3.991346153846154e-05,
|
| 2687 |
+
"loss": 0.0089,
|
| 2688 |
+
"step": 4200
|
| 2689 |
+
},
|
| 2690 |
+
{
|
| 2691 |
+
"epoch": 20.24,
|
| 2692 |
+
"learning_rate": 3.9889423076923074e-05,
|
| 2693 |
+
"loss": 0.0102,
|
| 2694 |
+
"step": 4210
|
| 2695 |
+
},
|
| 2696 |
+
{
|
| 2697 |
+
"epoch": 20.29,
|
| 2698 |
+
"learning_rate": 3.986538461538462e-05,
|
| 2699 |
+
"loss": 0.0116,
|
| 2700 |
+
"step": 4220
|
| 2701 |
+
},
|
| 2702 |
+
{
|
| 2703 |
+
"epoch": 20.34,
|
| 2704 |
+
"learning_rate": 3.9841346153846154e-05,
|
| 2705 |
+
"loss": 0.0092,
|
| 2706 |
+
"step": 4230
|
| 2707 |
+
},
|
| 2708 |
+
{
|
| 2709 |
+
"epoch": 20.38,
|
| 2710 |
+
"learning_rate": 3.981730769230769e-05,
|
| 2711 |
+
"loss": 0.0083,
|
| 2712 |
+
"step": 4240
|
| 2713 |
+
},
|
| 2714 |
+
{
|
| 2715 |
+
"epoch": 20.43,
|
| 2716 |
+
"learning_rate": 3.979326923076923e-05,
|
| 2717 |
+
"loss": 0.0107,
|
| 2718 |
+
"step": 4250
|
| 2719 |
+
},
|
| 2720 |
+
{
|
| 2721 |
+
"epoch": 20.48,
|
| 2722 |
+
"learning_rate": 3.976923076923077e-05,
|
| 2723 |
+
"loss": 0.0078,
|
| 2724 |
+
"step": 4260
|
| 2725 |
+
},
|
| 2726 |
+
{
|
| 2727 |
+
"epoch": 20.53,
|
| 2728 |
+
"learning_rate": 3.9745192307692306e-05,
|
| 2729 |
+
"loss": 0.0101,
|
| 2730 |
+
"step": 4270
|
| 2731 |
+
},
|
| 2732 |
+
{
|
| 2733 |
+
"epoch": 20.58,
|
| 2734 |
+
"learning_rate": 3.972115384615385e-05,
|
| 2735 |
+
"loss": 0.0075,
|
| 2736 |
+
"step": 4280
|
| 2737 |
+
},
|
| 2738 |
+
{
|
| 2739 |
+
"epoch": 20.62,
|
| 2740 |
+
"learning_rate": 3.9697115384615385e-05,
|
| 2741 |
+
"loss": 0.0103,
|
| 2742 |
+
"step": 4290
|
| 2743 |
+
},
|
| 2744 |
+
{
|
| 2745 |
+
"epoch": 20.67,
|
| 2746 |
+
"learning_rate": 3.967307692307692e-05,
|
| 2747 |
+
"loss": 0.012,
|
| 2748 |
+
"step": 4300
|
| 2749 |
+
},
|
| 2750 |
+
{
|
| 2751 |
+
"epoch": 20.72,
|
| 2752 |
+
"learning_rate": 3.9649038461538465e-05,
|
| 2753 |
+
"loss": 0.0123,
|
| 2754 |
+
"step": 4310
|
| 2755 |
+
},
|
| 2756 |
+
{
|
| 2757 |
+
"epoch": 20.77,
|
| 2758 |
+
"learning_rate": 3.9625e-05,
|
| 2759 |
+
"loss": 0.007,
|
| 2760 |
+
"step": 4320
|
| 2761 |
+
},
|
| 2762 |
+
{
|
| 2763 |
+
"epoch": 20.82,
|
| 2764 |
+
"learning_rate": 3.960096153846154e-05,
|
| 2765 |
+
"loss": 0.009,
|
| 2766 |
+
"step": 4330
|
| 2767 |
+
},
|
| 2768 |
+
{
|
| 2769 |
+
"epoch": 20.87,
|
| 2770 |
+
"learning_rate": 3.957692307692308e-05,
|
| 2771 |
+
"loss": 0.0071,
|
| 2772 |
+
"step": 4340
|
| 2773 |
+
},
|
| 2774 |
+
{
|
| 2775 |
+
"epoch": 20.91,
|
| 2776 |
+
"learning_rate": 3.955288461538462e-05,
|
| 2777 |
+
"loss": 0.0079,
|
| 2778 |
+
"step": 4350
|
| 2779 |
+
},
|
| 2780 |
+
{
|
| 2781 |
+
"epoch": 20.96,
|
| 2782 |
+
"learning_rate": 3.952884615384615e-05,
|
| 2783 |
+
"loss": 0.0097,
|
| 2784 |
+
"step": 4360
|
| 2785 |
+
},
|
| 2786 |
+
{
|
| 2787 |
+
"epoch": 21.0,
|
| 2788 |
+
"eval_loss": 0.04113055393099785,
|
| 2789 |
+
"eval_runtime": 36.7735,
|
| 2790 |
+
"eval_samples_per_second": 17.649,
|
| 2791 |
+
"eval_steps_per_second": 2.23,
|
| 2792 |
+
"step": 4368
|
| 2793 |
+
},
|
| 2794 |
+
{
|
| 2795 |
+
"epoch": 21.01,
|
| 2796 |
+
"learning_rate": 3.9504807692307696e-05,
|
| 2797 |
+
"loss": 0.0104,
|
| 2798 |
+
"step": 4370
|
| 2799 |
+
},
|
| 2800 |
+
{
|
| 2801 |
+
"epoch": 21.06,
|
| 2802 |
+
"learning_rate": 3.948076923076923e-05,
|
| 2803 |
+
"loss": 0.0086,
|
| 2804 |
+
"step": 4380
|
| 2805 |
+
},
|
| 2806 |
+
{
|
| 2807 |
+
"epoch": 21.11,
|
| 2808 |
+
"learning_rate": 3.945673076923077e-05,
|
| 2809 |
+
"loss": 0.0127,
|
| 2810 |
+
"step": 4390
|
| 2811 |
+
},
|
| 2812 |
+
{
|
| 2813 |
+
"epoch": 21.15,
|
| 2814 |
+
"learning_rate": 3.943269230769231e-05,
|
| 2815 |
+
"loss": 0.008,
|
| 2816 |
+
"step": 4400
|
| 2817 |
+
},
|
| 2818 |
+
{
|
| 2819 |
+
"epoch": 21.2,
|
| 2820 |
+
"learning_rate": 3.940865384615385e-05,
|
| 2821 |
+
"loss": 0.0073,
|
| 2822 |
+
"step": 4410
|
| 2823 |
+
},
|
| 2824 |
+
{
|
| 2825 |
+
"epoch": 21.25,
|
| 2826 |
+
"learning_rate": 3.9384615384615384e-05,
|
| 2827 |
+
"loss": 0.0087,
|
| 2828 |
+
"step": 4420
|
| 2829 |
+
},
|
| 2830 |
+
{
|
| 2831 |
+
"epoch": 21.3,
|
| 2832 |
+
"learning_rate": 3.936057692307693e-05,
|
| 2833 |
+
"loss": 0.0089,
|
| 2834 |
+
"step": 4430
|
| 2835 |
+
},
|
| 2836 |
+
{
|
| 2837 |
+
"epoch": 21.35,
|
| 2838 |
+
"learning_rate": 3.9336538461538464e-05,
|
| 2839 |
+
"loss": 0.0097,
|
| 2840 |
+
"step": 4440
|
| 2841 |
+
},
|
| 2842 |
+
{
|
| 2843 |
+
"epoch": 21.39,
|
| 2844 |
+
"learning_rate": 3.93125e-05,
|
| 2845 |
+
"loss": 0.0054,
|
| 2846 |
+
"step": 4450
|
| 2847 |
+
},
|
| 2848 |
+
{
|
| 2849 |
+
"epoch": 21.44,
|
| 2850 |
+
"learning_rate": 3.928846153846154e-05,
|
| 2851 |
+
"loss": 0.0079,
|
| 2852 |
+
"step": 4460
|
| 2853 |
+
},
|
| 2854 |
+
{
|
| 2855 |
+
"epoch": 21.49,
|
| 2856 |
+
"learning_rate": 3.926442307692308e-05,
|
| 2857 |
+
"loss": 0.009,
|
| 2858 |
+
"step": 4470
|
| 2859 |
+
},
|
| 2860 |
+
{
|
| 2861 |
+
"epoch": 21.54,
|
| 2862 |
+
"learning_rate": 3.9240384615384616e-05,
|
| 2863 |
+
"loss": 0.01,
|
| 2864 |
+
"step": 4480
|
| 2865 |
+
},
|
| 2866 |
+
{
|
| 2867 |
+
"epoch": 21.59,
|
| 2868 |
+
"learning_rate": 3.921634615384616e-05,
|
| 2869 |
+
"loss": 0.0085,
|
| 2870 |
+
"step": 4490
|
| 2871 |
+
},
|
| 2872 |
+
{
|
| 2873 |
+
"epoch": 21.63,
|
| 2874 |
+
"learning_rate": 3.9192307692307695e-05,
|
| 2875 |
+
"loss": 0.0094,
|
| 2876 |
+
"step": 4500
|
| 2877 |
+
},
|
| 2878 |
+
{
|
| 2879 |
+
"epoch": 21.68,
|
| 2880 |
+
"learning_rate": 3.916826923076923e-05,
|
| 2881 |
+
"loss": 0.0128,
|
| 2882 |
+
"step": 4510
|
| 2883 |
+
},
|
| 2884 |
+
{
|
| 2885 |
+
"epoch": 21.73,
|
| 2886 |
+
"learning_rate": 3.9144230769230775e-05,
|
| 2887 |
+
"loss": 0.0077,
|
| 2888 |
+
"step": 4520
|
| 2889 |
+
},
|
| 2890 |
+
{
|
| 2891 |
+
"epoch": 21.78,
|
| 2892 |
+
"learning_rate": 3.912019230769231e-05,
|
| 2893 |
+
"loss": 0.0073,
|
| 2894 |
+
"step": 4530
|
| 2895 |
+
},
|
| 2896 |
+
{
|
| 2897 |
+
"epoch": 21.83,
|
| 2898 |
+
"learning_rate": 3.909615384615385e-05,
|
| 2899 |
+
"loss": 0.0083,
|
| 2900 |
+
"step": 4540
|
| 2901 |
+
},
|
| 2902 |
+
{
|
| 2903 |
+
"epoch": 21.88,
|
| 2904 |
+
"learning_rate": 3.907211538461539e-05,
|
| 2905 |
+
"loss": 0.0112,
|
| 2906 |
+
"step": 4550
|
| 2907 |
+
},
|
| 2908 |
+
{
|
| 2909 |
+
"epoch": 21.92,
|
| 2910 |
+
"learning_rate": 3.904807692307693e-05,
|
| 2911 |
+
"loss": 0.0076,
|
| 2912 |
+
"step": 4560
|
| 2913 |
+
},
|
| 2914 |
+
{
|
| 2915 |
+
"epoch": 21.97,
|
| 2916 |
+
"learning_rate": 3.902403846153846e-05,
|
| 2917 |
+
"loss": 0.0084,
|
| 2918 |
+
"step": 4570
|
| 2919 |
+
},
|
| 2920 |
+
{
|
| 2921 |
+
"epoch": 22.0,
|
| 2922 |
+
"eval_loss": 0.03989782929420471,
|
| 2923 |
+
"eval_runtime": 36.902,
|
| 2924 |
+
"eval_samples_per_second": 17.587,
|
| 2925 |
+
"eval_steps_per_second": 2.222,
|
| 2926 |
+
"step": 4576
|
| 2927 |
+
},
|
| 2928 |
+
{
|
| 2929 |
+
"epoch": 22.0,
|
| 2930 |
+
"step": 4576,
|
| 2931 |
+
"total_flos": 5.233965363865186e+18,
|
| 2932 |
+
"train_loss": 0.02212856354686868,
|
| 2933 |
+
"train_runtime": 7388.5591,
|
| 2934 |
+
"train_samples_per_second": 22.521,
|
| 2935 |
+
"train_steps_per_second": 2.815
|
| 2936 |
+
}
|
| 2937 |
+
],
|
| 2938 |
+
"max_steps": 20800,
|
| 2939 |
+
"num_train_epochs": 100,
|
| 2940 |
+
"total_flos": 5.233965363865186e+18,
|
| 2941 |
+
"trial_name": null,
|
| 2942 |
+
"trial_params": null
|
| 2943 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9247e7fd5691eb2ef785074b8a3eb2e734d81cf6d7beaa5c99dbd2dfc89c3c69
|
| 3 |
+
size 3451
|