Nikita Moghe Moghe commited on
Commit ·
95451f2
1
Parent(s): 36e9e85
First model version
Browse files- config.json +30 -0
- eval_results_mlm.txt +1 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- train_results.txt +3 -0
- trainer_state.json +622 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "bert-base-multilingual-uncased",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"BertForMaskedLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"directionality": "bidi",
|
| 8 |
+
"gradient_checkpointing": false,
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
+
"hidden_dropout_prob": 0.1,
|
| 11 |
+
"hidden_size": 768,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"intermediate_size": 3072,
|
| 14 |
+
"layer_norm_eps": 1e-12,
|
| 15 |
+
"max_position_embeddings": 512,
|
| 16 |
+
"model_type": "bert",
|
| 17 |
+
"num_attention_heads": 12,
|
| 18 |
+
"num_hidden_layers": 12,
|
| 19 |
+
"pad_token_id": 0,
|
| 20 |
+
"pooler_fc_size": 768,
|
| 21 |
+
"pooler_num_attention_heads": 12,
|
| 22 |
+
"pooler_num_fc_layers": 3,
|
| 23 |
+
"pooler_size_per_head": 128,
|
| 24 |
+
"pooler_type": "first_token_transform",
|
| 25 |
+
"position_embedding_type": "absolute",
|
| 26 |
+
"transformers_version": "4.2.2",
|
| 27 |
+
"type_vocab_size": 2,
|
| 28 |
+
"use_cache": true,
|
| 29 |
+
"vocab_size": 105879
|
| 30 |
+
}
|
eval_results_mlm.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
perplexity = 4.101363560895852
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:77011395c8ef14f0b9a66d52a3022fd19f99e52668380642e54abe7d51a4bd63
|
| 3 |
+
size 669910510
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"bos_token": "<S>", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "name_or_path": "bert-base-multilingual-uncased"}
|
train_results.txt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
epoch = 20.0
|
| 2 |
+
train_runtime = 26624.9772
|
| 3 |
+
train_samples_per_second = 9.39
|
trainer_state.json
ADDED
|
@@ -0,0 +1,622 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 19.999960001599938,
|
| 5 |
+
"global_step": 250000,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.2,
|
| 12 |
+
"learning_rate": 4.9500000000000004e-05,
|
| 13 |
+
"loss": 2.2651,
|
| 14 |
+
"step": 2500
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.4,
|
| 18 |
+
"learning_rate": 4.9e-05,
|
| 19 |
+
"loss": 2.069,
|
| 20 |
+
"step": 5000
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.6,
|
| 24 |
+
"learning_rate": 4.85e-05,
|
| 25 |
+
"loss": 1.9778,
|
| 26 |
+
"step": 7500
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.8,
|
| 30 |
+
"learning_rate": 4.8e-05,
|
| 31 |
+
"loss": 1.9497,
|
| 32 |
+
"step": 10000
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 1.0,
|
| 36 |
+
"learning_rate": 4.75e-05,
|
| 37 |
+
"loss": 1.8674,
|
| 38 |
+
"step": 12500
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 1.2,
|
| 42 |
+
"learning_rate": 4.7e-05,
|
| 43 |
+
"loss": 1.8067,
|
| 44 |
+
"step": 15000
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 1.4,
|
| 48 |
+
"learning_rate": 4.6500000000000005e-05,
|
| 49 |
+
"loss": 1.7819,
|
| 50 |
+
"step": 17500
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 1.6,
|
| 54 |
+
"learning_rate": 4.600000000000001e-05,
|
| 55 |
+
"loss": 1.7696,
|
| 56 |
+
"step": 20000
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 1.8,
|
| 60 |
+
"learning_rate": 4.55e-05,
|
| 61 |
+
"loss": 1.7706,
|
| 62 |
+
"step": 22500
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 2.0,
|
| 66 |
+
"learning_rate": 4.5e-05,
|
| 67 |
+
"loss": 1.7257,
|
| 68 |
+
"step": 25000
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 2.2,
|
| 72 |
+
"learning_rate": 4.4500000000000004e-05,
|
| 73 |
+
"loss": 1.6657,
|
| 74 |
+
"step": 27500
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 2.4,
|
| 78 |
+
"learning_rate": 4.4000000000000006e-05,
|
| 79 |
+
"loss": 1.6589,
|
| 80 |
+
"step": 30000
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 2.6,
|
| 84 |
+
"learning_rate": 4.35e-05,
|
| 85 |
+
"loss": 1.6557,
|
| 86 |
+
"step": 32500
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 2.8,
|
| 90 |
+
"learning_rate": 4.3e-05,
|
| 91 |
+
"loss": 1.623,
|
| 92 |
+
"step": 35000
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 3.0,
|
| 96 |
+
"learning_rate": 4.25e-05,
|
| 97 |
+
"loss": 1.6466,
|
| 98 |
+
"step": 37500
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 3.2,
|
| 102 |
+
"learning_rate": 4.2e-05,
|
| 103 |
+
"loss": 1.5969,
|
| 104 |
+
"step": 40000
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 3.4,
|
| 108 |
+
"learning_rate": 4.15e-05,
|
| 109 |
+
"loss": 1.5906,
|
| 110 |
+
"step": 42500
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 3.6,
|
| 114 |
+
"learning_rate": 4.1e-05,
|
| 115 |
+
"loss": 1.5653,
|
| 116 |
+
"step": 45000
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 3.8,
|
| 120 |
+
"learning_rate": 4.05e-05,
|
| 121 |
+
"loss": 1.5574,
|
| 122 |
+
"step": 47500
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 4.0,
|
| 126 |
+
"learning_rate": 4e-05,
|
| 127 |
+
"loss": 1.5583,
|
| 128 |
+
"step": 50000
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 4.2,
|
| 132 |
+
"learning_rate": 3.9500000000000005e-05,
|
| 133 |
+
"loss": 1.498,
|
| 134 |
+
"step": 52500
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 4.4,
|
| 138 |
+
"learning_rate": 3.9000000000000006e-05,
|
| 139 |
+
"loss": 1.4943,
|
| 140 |
+
"step": 55000
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 4.6,
|
| 144 |
+
"learning_rate": 3.85e-05,
|
| 145 |
+
"loss": 1.4859,
|
| 146 |
+
"step": 57500
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 4.8,
|
| 150 |
+
"learning_rate": 3.8e-05,
|
| 151 |
+
"loss": 1.5071,
|
| 152 |
+
"step": 60000
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 5.0,
|
| 156 |
+
"learning_rate": 3.7500000000000003e-05,
|
| 157 |
+
"loss": 1.5022,
|
| 158 |
+
"step": 62500
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 5.2,
|
| 162 |
+
"learning_rate": 3.7e-05,
|
| 163 |
+
"loss": 1.4653,
|
| 164 |
+
"step": 65000
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 5.4,
|
| 168 |
+
"learning_rate": 3.65e-05,
|
| 169 |
+
"loss": 1.4194,
|
| 170 |
+
"step": 67500
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 5.6,
|
| 174 |
+
"learning_rate": 3.6e-05,
|
| 175 |
+
"loss": 1.4436,
|
| 176 |
+
"step": 70000
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 5.8,
|
| 180 |
+
"learning_rate": 3.55e-05,
|
| 181 |
+
"loss": 1.4134,
|
| 182 |
+
"step": 72500
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 6.0,
|
| 186 |
+
"learning_rate": 3.5e-05,
|
| 187 |
+
"loss": 1.4291,
|
| 188 |
+
"step": 75000
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 6.2,
|
| 192 |
+
"learning_rate": 3.45e-05,
|
| 193 |
+
"loss": 1.3782,
|
| 194 |
+
"step": 77500
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 6.4,
|
| 198 |
+
"learning_rate": 3.4000000000000007e-05,
|
| 199 |
+
"loss": 1.375,
|
| 200 |
+
"step": 80000
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 6.6,
|
| 204 |
+
"learning_rate": 3.35e-05,
|
| 205 |
+
"loss": 1.4082,
|
| 206 |
+
"step": 82500
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 6.8,
|
| 210 |
+
"learning_rate": 3.3e-05,
|
| 211 |
+
"loss": 1.3922,
|
| 212 |
+
"step": 85000
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 7.0,
|
| 216 |
+
"learning_rate": 3.2500000000000004e-05,
|
| 217 |
+
"loss": 1.3824,
|
| 218 |
+
"step": 87500
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 7.2,
|
| 222 |
+
"learning_rate": 3.2000000000000005e-05,
|
| 223 |
+
"loss": 1.3224,
|
| 224 |
+
"step": 90000
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 7.4,
|
| 228 |
+
"learning_rate": 3.15e-05,
|
| 229 |
+
"loss": 1.3281,
|
| 230 |
+
"step": 92500
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 7.6,
|
| 234 |
+
"learning_rate": 3.1e-05,
|
| 235 |
+
"loss": 1.3507,
|
| 236 |
+
"step": 95000
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 7.8,
|
| 240 |
+
"learning_rate": 3.05e-05,
|
| 241 |
+
"loss": 1.3442,
|
| 242 |
+
"step": 97500
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 8.0,
|
| 246 |
+
"learning_rate": 3e-05,
|
| 247 |
+
"loss": 1.3254,
|
| 248 |
+
"step": 100000
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 8.2,
|
| 252 |
+
"learning_rate": 2.95e-05,
|
| 253 |
+
"loss": 1.2894,
|
| 254 |
+
"step": 102500
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 8.4,
|
| 258 |
+
"learning_rate": 2.9e-05,
|
| 259 |
+
"loss": 1.3093,
|
| 260 |
+
"step": 105000
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 8.6,
|
| 264 |
+
"learning_rate": 2.8499999999999998e-05,
|
| 265 |
+
"loss": 1.2873,
|
| 266 |
+
"step": 107500
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 8.8,
|
| 270 |
+
"learning_rate": 2.8000000000000003e-05,
|
| 271 |
+
"loss": 1.2888,
|
| 272 |
+
"step": 110000
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 9.0,
|
| 276 |
+
"learning_rate": 2.7500000000000004e-05,
|
| 277 |
+
"loss": 1.2827,
|
| 278 |
+
"step": 112500
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 9.2,
|
| 282 |
+
"learning_rate": 2.7000000000000002e-05,
|
| 283 |
+
"loss": 1.2406,
|
| 284 |
+
"step": 115000
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 9.4,
|
| 288 |
+
"learning_rate": 2.6500000000000004e-05,
|
| 289 |
+
"loss": 1.2682,
|
| 290 |
+
"step": 117500
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 9.6,
|
| 294 |
+
"learning_rate": 2.6000000000000002e-05,
|
| 295 |
+
"loss": 1.2744,
|
| 296 |
+
"step": 120000
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 9.8,
|
| 300 |
+
"learning_rate": 2.5500000000000003e-05,
|
| 301 |
+
"loss": 1.2408,
|
| 302 |
+
"step": 122500
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 10.0,
|
| 306 |
+
"learning_rate": 2.5e-05,
|
| 307 |
+
"loss": 1.2291,
|
| 308 |
+
"step": 125000
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 10.2,
|
| 312 |
+
"learning_rate": 2.45e-05,
|
| 313 |
+
"loss": 1.2132,
|
| 314 |
+
"step": 127500
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 10.4,
|
| 318 |
+
"learning_rate": 2.4e-05,
|
| 319 |
+
"loss": 1.1979,
|
| 320 |
+
"step": 130000
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 10.6,
|
| 324 |
+
"learning_rate": 2.35e-05,
|
| 325 |
+
"loss": 1.2106,
|
| 326 |
+
"step": 132500
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 10.8,
|
| 330 |
+
"learning_rate": 2.3000000000000003e-05,
|
| 331 |
+
"loss": 1.202,
|
| 332 |
+
"step": 135000
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 11.0,
|
| 336 |
+
"learning_rate": 2.25e-05,
|
| 337 |
+
"loss": 1.2056,
|
| 338 |
+
"step": 137500
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 11.2,
|
| 342 |
+
"learning_rate": 2.2000000000000003e-05,
|
| 343 |
+
"loss": 1.1665,
|
| 344 |
+
"step": 140000
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 11.4,
|
| 348 |
+
"learning_rate": 2.15e-05,
|
| 349 |
+
"loss": 1.1519,
|
| 350 |
+
"step": 142500
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 11.6,
|
| 354 |
+
"learning_rate": 2.1e-05,
|
| 355 |
+
"loss": 1.1494,
|
| 356 |
+
"step": 145000
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 11.8,
|
| 360 |
+
"learning_rate": 2.05e-05,
|
| 361 |
+
"loss": 1.1649,
|
| 362 |
+
"step": 147500
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 12.0,
|
| 366 |
+
"learning_rate": 2e-05,
|
| 367 |
+
"loss": 1.1567,
|
| 368 |
+
"step": 150000
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 12.2,
|
| 372 |
+
"learning_rate": 1.9500000000000003e-05,
|
| 373 |
+
"loss": 1.1195,
|
| 374 |
+
"step": 152500
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 12.4,
|
| 378 |
+
"learning_rate": 1.9e-05,
|
| 379 |
+
"loss": 1.1107,
|
| 380 |
+
"step": 155000
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 12.6,
|
| 384 |
+
"learning_rate": 1.85e-05,
|
| 385 |
+
"loss": 1.1213,
|
| 386 |
+
"step": 157500
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 12.8,
|
| 390 |
+
"learning_rate": 1.8e-05,
|
| 391 |
+
"loss": 1.1186,
|
| 392 |
+
"step": 160000
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 13.0,
|
| 396 |
+
"learning_rate": 1.75e-05,
|
| 397 |
+
"loss": 1.1202,
|
| 398 |
+
"step": 162500
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 13.2,
|
| 402 |
+
"learning_rate": 1.7000000000000003e-05,
|
| 403 |
+
"loss": 1.1014,
|
| 404 |
+
"step": 165000
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 13.4,
|
| 408 |
+
"learning_rate": 1.65e-05,
|
| 409 |
+
"loss": 1.0691,
|
| 410 |
+
"step": 167500
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 13.6,
|
| 414 |
+
"learning_rate": 1.6000000000000003e-05,
|
| 415 |
+
"loss": 1.0787,
|
| 416 |
+
"step": 170000
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 13.8,
|
| 420 |
+
"learning_rate": 1.55e-05,
|
| 421 |
+
"loss": 1.0835,
|
| 422 |
+
"step": 172500
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 14.0,
|
| 426 |
+
"learning_rate": 1.5e-05,
|
| 427 |
+
"loss": 1.0812,
|
| 428 |
+
"step": 175000
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 14.2,
|
| 432 |
+
"learning_rate": 1.45e-05,
|
| 433 |
+
"loss": 1.0512,
|
| 434 |
+
"step": 177500
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 14.4,
|
| 438 |
+
"learning_rate": 1.4000000000000001e-05,
|
| 439 |
+
"loss": 1.0559,
|
| 440 |
+
"step": 180000
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 14.6,
|
| 444 |
+
"learning_rate": 1.3500000000000001e-05,
|
| 445 |
+
"loss": 1.0558,
|
| 446 |
+
"step": 182500
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 14.8,
|
| 450 |
+
"learning_rate": 1.3000000000000001e-05,
|
| 451 |
+
"loss": 1.0388,
|
| 452 |
+
"step": 185000
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 15.0,
|
| 456 |
+
"learning_rate": 1.25e-05,
|
| 457 |
+
"loss": 1.0464,
|
| 458 |
+
"step": 187500
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 15.2,
|
| 462 |
+
"learning_rate": 1.2e-05,
|
| 463 |
+
"loss": 1.0131,
|
| 464 |
+
"step": 190000
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 15.4,
|
| 468 |
+
"learning_rate": 1.1500000000000002e-05,
|
| 469 |
+
"loss": 1.0071,
|
| 470 |
+
"step": 192500
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 15.6,
|
| 474 |
+
"learning_rate": 1.1000000000000001e-05,
|
| 475 |
+
"loss": 1.0146,
|
| 476 |
+
"step": 195000
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 15.8,
|
| 480 |
+
"learning_rate": 1.05e-05,
|
| 481 |
+
"loss": 1.006,
|
| 482 |
+
"step": 197500
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 16.0,
|
| 486 |
+
"learning_rate": 1e-05,
|
| 487 |
+
"loss": 1.0097,
|
| 488 |
+
"step": 200000
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 16.2,
|
| 492 |
+
"learning_rate": 9.5e-06,
|
| 493 |
+
"loss": 0.9944,
|
| 494 |
+
"step": 202500
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 16.4,
|
| 498 |
+
"learning_rate": 9e-06,
|
| 499 |
+
"loss": 0.9718,
|
| 500 |
+
"step": 205000
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 16.6,
|
| 504 |
+
"learning_rate": 8.500000000000002e-06,
|
| 505 |
+
"loss": 0.9746,
|
| 506 |
+
"step": 207500
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 16.8,
|
| 510 |
+
"learning_rate": 8.000000000000001e-06,
|
| 511 |
+
"loss": 0.9653,
|
| 512 |
+
"step": 210000
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 17.0,
|
| 516 |
+
"learning_rate": 7.5e-06,
|
| 517 |
+
"loss": 0.9814,
|
| 518 |
+
"step": 212500
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 17.2,
|
| 522 |
+
"learning_rate": 7.000000000000001e-06,
|
| 523 |
+
"loss": 0.9519,
|
| 524 |
+
"step": 215000
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 17.4,
|
| 528 |
+
"learning_rate": 6.5000000000000004e-06,
|
| 529 |
+
"loss": 0.9553,
|
| 530 |
+
"step": 217500
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 17.6,
|
| 534 |
+
"learning_rate": 6e-06,
|
| 535 |
+
"loss": 0.9639,
|
| 536 |
+
"step": 220000
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 17.8,
|
| 540 |
+
"learning_rate": 5.500000000000001e-06,
|
| 541 |
+
"loss": 0.9522,
|
| 542 |
+
"step": 222500
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 18.0,
|
| 546 |
+
"learning_rate": 5e-06,
|
| 547 |
+
"loss": 0.9368,
|
| 548 |
+
"step": 225000
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 18.2,
|
| 552 |
+
"learning_rate": 4.5e-06,
|
| 553 |
+
"loss": 0.9326,
|
| 554 |
+
"step": 227500
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 18.4,
|
| 558 |
+
"learning_rate": 4.000000000000001e-06,
|
| 559 |
+
"loss": 0.9267,
|
| 560 |
+
"step": 230000
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 18.6,
|
| 564 |
+
"learning_rate": 3.5000000000000004e-06,
|
| 565 |
+
"loss": 0.9019,
|
| 566 |
+
"step": 232500
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 18.8,
|
| 570 |
+
"learning_rate": 3e-06,
|
| 571 |
+
"loss": 0.9305,
|
| 572 |
+
"step": 235000
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 19.0,
|
| 576 |
+
"learning_rate": 2.5e-06,
|
| 577 |
+
"loss": 0.9376,
|
| 578 |
+
"step": 237500
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 19.2,
|
| 582 |
+
"learning_rate": 2.0000000000000003e-06,
|
| 583 |
+
"loss": 0.8974,
|
| 584 |
+
"step": 240000
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 19.4,
|
| 588 |
+
"learning_rate": 1.5e-06,
|
| 589 |
+
"loss": 0.9006,
|
| 590 |
+
"step": 242500
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 19.6,
|
| 594 |
+
"learning_rate": 1.0000000000000002e-06,
|
| 595 |
+
"loss": 0.9125,
|
| 596 |
+
"step": 245000
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 19.8,
|
| 600 |
+
"learning_rate": 5.000000000000001e-07,
|
| 601 |
+
"loss": 0.9035,
|
| 602 |
+
"step": 247500
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 20.0,
|
| 606 |
+
"learning_rate": 0.0,
|
| 607 |
+
"loss": 0.9022,
|
| 608 |
+
"step": 250000
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 20.0,
|
| 612 |
+
"step": 250000,
|
| 613 |
+
"train_runtime": 26624.9772,
|
| 614 |
+
"train_samples_per_second": 9.39
|
| 615 |
+
}
|
| 616 |
+
],
|
| 617 |
+
"max_steps": 250000,
|
| 618 |
+
"num_train_epochs": 20,
|
| 619 |
+
"total_flos": 75197205085000500,
|
| 620 |
+
"trial_name": null,
|
| 621 |
+
"trial_params": null
|
| 622 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a4fccae495a362f71b48a94fcc9673286412e14302bfc6ced69ebb882a662c6d
|
| 3 |
+
size 1829
|
vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|