Upload 7 files
Browse files- config.json +35 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer_config.json +57 -0
- trainer_state.json +321 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
|
@@ -0,0 +1,35 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "../model/tibetan-bert",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"BertForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"classifier_dropout": null,
|
| 8 |
+
"gradient_checkpointing": false,
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
+
"hidden_dropout_prob": 0.1,
|
| 11 |
+
"hidden_size": 768,
|
| 12 |
+
"id2label": {
|
| 13 |
+
"0": "Negative",
|
| 14 |
+
"1": "Positive"
|
| 15 |
+
},
|
| 16 |
+
"initializer_range": 0.02,
|
| 17 |
+
"intermediate_size": 3072,
|
| 18 |
+
"label2id": {
|
| 19 |
+
"Negative": 0,
|
| 20 |
+
"Positive": 1
|
| 21 |
+
},
|
| 22 |
+
"layer_norm_eps": 1e-12,
|
| 23 |
+
"max_position_embeddings": 512,
|
| 24 |
+
"model_type": "bert",
|
| 25 |
+
"num_attention_heads": 12,
|
| 26 |
+
"num_hidden_layers": 12,
|
| 27 |
+
"pad_token_id": 0,
|
| 28 |
+
"position_embedding_type": "absolute",
|
| 29 |
+
"problem_type": "single_label_classification",
|
| 30 |
+
"torch_dtype": "float32",
|
| 31 |
+
"transformers_version": "4.36.2",
|
| 32 |
+
"type_vocab_size": 2,
|
| 33 |
+
"use_cache": true,
|
| 34 |
+
"vocab_size": 32267
|
| 35 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a8ee22b44985aea37abbc6f04c1968e94ba8460cb988590498fe74a32ae41d65
|
| 3 |
+
size 443362287
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": "[CLS]",
|
| 3 |
+
"mask_token": "[MASK]",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"sep_token": "[SEP]",
|
| 6 |
+
"unk_token": "[UNK]"
|
| 7 |
+
}
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"4": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": true,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_basic_tokenize": true,
|
| 47 |
+
"do_lower_case": true,
|
| 48 |
+
"mask_token": "[MASK]",
|
| 49 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 50 |
+
"never_split": null,
|
| 51 |
+
"pad_token": "[PAD]",
|
| 52 |
+
"sep_token": "[SEP]",
|
| 53 |
+
"strip_accents": null,
|
| 54 |
+
"tokenize_chinese_chars": true,
|
| 55 |
+
"tokenizer_class": "BertTokenizer",
|
| 56 |
+
"unk_token": "[UNK]"
|
| 57 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,321 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.6912539515279241,
|
| 3 |
+
"best_model_checkpoint": "../saved_model/tibetan-bert_tusa/checkpoint-3000",
|
| 4 |
+
"epoch": 20.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 5000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 1.0,
|
| 13 |
+
"eval_accuracy": 0.646,
|
| 14 |
+
"eval_f1": 0.5241935483870969,
|
| 15 |
+
"eval_loss": 0.7404859662055969,
|
| 16 |
+
"eval_precision": 0.7991803278688525,
|
| 17 |
+
"eval_recall": 0.39,
|
| 18 |
+
"eval_runtime": 7.8525,
|
| 19 |
+
"eval_samples_per_second": 127.348,
|
| 20 |
+
"eval_steps_per_second": 4.075,
|
| 21 |
+
"step": 250
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 2.0,
|
| 25 |
+
"learning_rate": 4.5e-05,
|
| 26 |
+
"loss": 0.344,
|
| 27 |
+
"step": 500
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 2.0,
|
| 31 |
+
"eval_accuracy": 0.669,
|
| 32 |
+
"eval_f1": 0.6182237600922721,
|
| 33 |
+
"eval_loss": 0.9954240322113037,
|
| 34 |
+
"eval_precision": 0.7302452316076294,
|
| 35 |
+
"eval_recall": 0.536,
|
| 36 |
+
"eval_runtime": 7.8266,
|
| 37 |
+
"eval_samples_per_second": 127.769,
|
| 38 |
+
"eval_steps_per_second": 4.089,
|
| 39 |
+
"step": 500
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 3.0,
|
| 43 |
+
"eval_accuracy": 0.69,
|
| 44 |
+
"eval_f1": 0.6784232365145229,
|
| 45 |
+
"eval_loss": 0.9894322752952576,
|
| 46 |
+
"eval_precision": 0.7047413793103449,
|
| 47 |
+
"eval_recall": 0.654,
|
| 48 |
+
"eval_runtime": 7.8356,
|
| 49 |
+
"eval_samples_per_second": 127.623,
|
| 50 |
+
"eval_steps_per_second": 4.084,
|
| 51 |
+
"step": 750
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 4.0,
|
| 55 |
+
"learning_rate": 4e-05,
|
| 56 |
+
"loss": 0.157,
|
| 57 |
+
"step": 1000
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 4.0,
|
| 61 |
+
"eval_accuracy": 0.657,
|
| 62 |
+
"eval_f1": 0.5862484921592279,
|
| 63 |
+
"eval_loss": 1.347570538520813,
|
| 64 |
+
"eval_precision": 0.7386018237082067,
|
| 65 |
+
"eval_recall": 0.486,
|
| 66 |
+
"eval_runtime": 7.8871,
|
| 67 |
+
"eval_samples_per_second": 126.789,
|
| 68 |
+
"eval_steps_per_second": 4.057,
|
| 69 |
+
"step": 1000
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 5.0,
|
| 73 |
+
"eval_accuracy": 0.643,
|
| 74 |
+
"eval_f1": 0.5486725663716814,
|
| 75 |
+
"eval_loss": 1.6362618207931519,
|
| 76 |
+
"eval_precision": 0.7457044673539519,
|
| 77 |
+
"eval_recall": 0.434,
|
| 78 |
+
"eval_runtime": 7.8844,
|
| 79 |
+
"eval_samples_per_second": 126.833,
|
| 80 |
+
"eval_steps_per_second": 4.059,
|
| 81 |
+
"step": 1250
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 6.0,
|
| 85 |
+
"learning_rate": 3.5e-05,
|
| 86 |
+
"loss": 0.0727,
|
| 87 |
+
"step": 1500
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 6.0,
|
| 91 |
+
"eval_accuracy": 0.649,
|
| 92 |
+
"eval_f1": 0.5755743651753326,
|
| 93 |
+
"eval_loss": 1.8187189102172852,
|
| 94 |
+
"eval_precision": 0.72782874617737,
|
| 95 |
+
"eval_recall": 0.476,
|
| 96 |
+
"eval_runtime": 7.8876,
|
| 97 |
+
"eval_samples_per_second": 126.781,
|
| 98 |
+
"eval_steps_per_second": 4.057,
|
| 99 |
+
"step": 1500
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 7.0,
|
| 103 |
+
"eval_accuracy": 0.678,
|
| 104 |
+
"eval_f1": 0.6373873873873873,
|
| 105 |
+
"eval_loss": 1.8846988677978516,
|
| 106 |
+
"eval_precision": 0.729381443298969,
|
| 107 |
+
"eval_recall": 0.566,
|
| 108 |
+
"eval_runtime": 7.8344,
|
| 109 |
+
"eval_samples_per_second": 127.643,
|
| 110 |
+
"eval_steps_per_second": 4.085,
|
| 111 |
+
"step": 1750
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 8.0,
|
| 115 |
+
"learning_rate": 3e-05,
|
| 116 |
+
"loss": 0.0407,
|
| 117 |
+
"step": 2000
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 8.0,
|
| 121 |
+
"eval_accuracy": 0.667,
|
| 122 |
+
"eval_f1": 0.622876557191393,
|
| 123 |
+
"eval_loss": 2.593871831893921,
|
| 124 |
+
"eval_precision": 0.7180156657963447,
|
| 125 |
+
"eval_recall": 0.55,
|
| 126 |
+
"eval_runtime": 7.8379,
|
| 127 |
+
"eval_samples_per_second": 127.584,
|
| 128 |
+
"eval_steps_per_second": 4.083,
|
| 129 |
+
"step": 2000
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 9.0,
|
| 133 |
+
"eval_accuracy": 0.663,
|
| 134 |
+
"eval_f1": 0.6174801362088536,
|
| 135 |
+
"eval_loss": 2.2667245864868164,
|
| 136 |
+
"eval_precision": 0.7139107611548556,
|
| 137 |
+
"eval_recall": 0.544,
|
| 138 |
+
"eval_runtime": 7.8522,
|
| 139 |
+
"eval_samples_per_second": 127.353,
|
| 140 |
+
"eval_steps_per_second": 4.075,
|
| 141 |
+
"step": 2250
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 10.0,
|
| 145 |
+
"learning_rate": 2.5e-05,
|
| 146 |
+
"loss": 0.0219,
|
| 147 |
+
"step": 2500
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 10.0,
|
| 151 |
+
"eval_accuracy": 0.683,
|
| 152 |
+
"eval_f1": 0.6458100558659218,
|
| 153 |
+
"eval_loss": 2.565606117248535,
|
| 154 |
+
"eval_precision": 0.7316455696202532,
|
| 155 |
+
"eval_recall": 0.578,
|
| 156 |
+
"eval_runtime": 7.8306,
|
| 157 |
+
"eval_samples_per_second": 127.705,
|
| 158 |
+
"eval_steps_per_second": 4.087,
|
| 159 |
+
"step": 2500
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 11.0,
|
| 163 |
+
"eval_accuracy": 0.689,
|
| 164 |
+
"eval_f1": 0.645381984036488,
|
| 165 |
+
"eval_loss": 2.9553158283233643,
|
| 166 |
+
"eval_precision": 0.7506631299734748,
|
| 167 |
+
"eval_recall": 0.566,
|
| 168 |
+
"eval_runtime": 7.8582,
|
| 169 |
+
"eval_samples_per_second": 127.256,
|
| 170 |
+
"eval_steps_per_second": 4.072,
|
| 171 |
+
"step": 2750
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 12.0,
|
| 175 |
+
"learning_rate": 2e-05,
|
| 176 |
+
"loss": 0.0066,
|
| 177 |
+
"step": 3000
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 12.0,
|
| 181 |
+
"eval_accuracy": 0.707,
|
| 182 |
+
"eval_f1": 0.6912539515279241,
|
| 183 |
+
"eval_loss": 2.7209701538085938,
|
| 184 |
+
"eval_precision": 0.7305122494432071,
|
| 185 |
+
"eval_recall": 0.656,
|
| 186 |
+
"eval_runtime": 7.9302,
|
| 187 |
+
"eval_samples_per_second": 126.101,
|
| 188 |
+
"eval_steps_per_second": 4.035,
|
| 189 |
+
"step": 3000
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 13.0,
|
| 193 |
+
"eval_accuracy": 0.69,
|
| 194 |
+
"eval_f1": 0.6630434782608696,
|
| 195 |
+
"eval_loss": 2.795156478881836,
|
| 196 |
+
"eval_precision": 0.7261904761904762,
|
| 197 |
+
"eval_recall": 0.61,
|
| 198 |
+
"eval_runtime": 7.8563,
|
| 199 |
+
"eval_samples_per_second": 127.287,
|
| 200 |
+
"eval_steps_per_second": 4.073,
|
| 201 |
+
"step": 3250
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 14.0,
|
| 205 |
+
"learning_rate": 1.5e-05,
|
| 206 |
+
"loss": 0.0054,
|
| 207 |
+
"step": 3500
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 14.0,
|
| 211 |
+
"eval_accuracy": 0.701,
|
| 212 |
+
"eval_f1": 0.6862539349422876,
|
| 213 |
+
"eval_loss": 2.847877025604248,
|
| 214 |
+
"eval_precision": 0.7218543046357616,
|
| 215 |
+
"eval_recall": 0.654,
|
| 216 |
+
"eval_runtime": 7.8163,
|
| 217 |
+
"eval_samples_per_second": 127.938,
|
| 218 |
+
"eval_steps_per_second": 4.094,
|
| 219 |
+
"step": 3500
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 15.0,
|
| 223 |
+
"eval_accuracy": 0.696,
|
| 224 |
+
"eval_f1": 0.68,
|
| 225 |
+
"eval_loss": 2.996243715286255,
|
| 226 |
+
"eval_precision": 0.7177777777777777,
|
| 227 |
+
"eval_recall": 0.646,
|
| 228 |
+
"eval_runtime": 7.8761,
|
| 229 |
+
"eval_samples_per_second": 126.966,
|
| 230 |
+
"eval_steps_per_second": 4.063,
|
| 231 |
+
"step": 3750
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 16.0,
|
| 235 |
+
"learning_rate": 1e-05,
|
| 236 |
+
"loss": 0.0026,
|
| 237 |
+
"step": 4000
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 16.0,
|
| 241 |
+
"eval_accuracy": 0.695,
|
| 242 |
+
"eval_f1": 0.6709816612729235,
|
| 243 |
+
"eval_loss": 3.150722026824951,
|
| 244 |
+
"eval_precision": 0.7283372365339579,
|
| 245 |
+
"eval_recall": 0.622,
|
| 246 |
+
"eval_runtime": 7.8492,
|
| 247 |
+
"eval_samples_per_second": 127.402,
|
| 248 |
+
"eval_steps_per_second": 4.077,
|
| 249 |
+
"step": 4000
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 17.0,
|
| 253 |
+
"eval_accuracy": 0.688,
|
| 254 |
+
"eval_f1": 0.6578947368421052,
|
| 255 |
+
"eval_loss": 3.2561535835266113,
|
| 256 |
+
"eval_precision": 0.7281553398058253,
|
| 257 |
+
"eval_recall": 0.6,
|
| 258 |
+
"eval_runtime": 7.8888,
|
| 259 |
+
"eval_samples_per_second": 126.762,
|
| 260 |
+
"eval_steps_per_second": 4.056,
|
| 261 |
+
"step": 4250
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 18.0,
|
| 265 |
+
"learning_rate": 5e-06,
|
| 266 |
+
"loss": 0.0022,
|
| 267 |
+
"step": 4500
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 18.0,
|
| 271 |
+
"eval_accuracy": 0.682,
|
| 272 |
+
"eval_f1": 0.671487603305785,
|
| 273 |
+
"eval_loss": 3.1687259674072266,
|
| 274 |
+
"eval_precision": 0.6944444444444444,
|
| 275 |
+
"eval_recall": 0.65,
|
| 276 |
+
"eval_runtime": 7.8583,
|
| 277 |
+
"eval_samples_per_second": 127.254,
|
| 278 |
+
"eval_steps_per_second": 4.072,
|
| 279 |
+
"step": 4500
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 19.0,
|
| 283 |
+
"eval_accuracy": 0.685,
|
| 284 |
+
"eval_f1": 0.672216441207076,
|
| 285 |
+
"eval_loss": 3.162193775177002,
|
| 286 |
+
"eval_precision": 0.7006507592190889,
|
| 287 |
+
"eval_recall": 0.646,
|
| 288 |
+
"eval_runtime": 7.8615,
|
| 289 |
+
"eval_samples_per_second": 127.202,
|
| 290 |
+
"eval_steps_per_second": 4.07,
|
| 291 |
+
"step": 4750
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 20.0,
|
| 295 |
+
"learning_rate": 0.0,
|
| 296 |
+
"loss": 0.0012,
|
| 297 |
+
"step": 5000
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 20.0,
|
| 301 |
+
"eval_accuracy": 0.698,
|
| 302 |
+
"eval_f1": 0.6766595289079229,
|
| 303 |
+
"eval_loss": 3.1741974353790283,
|
| 304 |
+
"eval_precision": 0.728110599078341,
|
| 305 |
+
"eval_recall": 0.632,
|
| 306 |
+
"eval_runtime": 7.8547,
|
| 307 |
+
"eval_samples_per_second": 127.313,
|
| 308 |
+
"eval_steps_per_second": 4.074,
|
| 309 |
+
"step": 5000
|
| 310 |
+
}
|
| 311 |
+
],
|
| 312 |
+
"logging_steps": 500,
|
| 313 |
+
"max_steps": 5000,
|
| 314 |
+
"num_input_tokens_seen": 0,
|
| 315 |
+
"num_train_epochs": 20,
|
| 316 |
+
"save_steps": 500,
|
| 317 |
+
"total_flos": 4.20977688576e+16,
|
| 318 |
+
"train_batch_size": 32,
|
| 319 |
+
"trial_name": null,
|
| 320 |
+
"trial_params": null
|
| 321 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ff9ab4a6441c6f812ecf509f13fb0e744de54f3bffd78a12e0a0e09801afbcbe
|
| 3 |
+
size 4271
|
vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|