Training in progress, step 900, checkpoint
Browse files- checkpoint-900/config.json +45 -0
- checkpoint-900/optimizer.pt +3 -0
- checkpoint-900/pytorch_model.bin +3 -0
- checkpoint-900/rng_state.pth +3 -0
- checkpoint-900/scheduler.pt +3 -0
- checkpoint-900/special_tokens_map.json +9 -0
- checkpoint-900/tokenizer.json +0 -0
- checkpoint-900/tokenizer_config.json +58 -0
- checkpoint-900/trainer_state.json +187 -0
- checkpoint-900/training_args.bin +3 -0
checkpoint-900/config.json
ADDED
|
@@ -0,0 +1,45 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "Fsoft-AIC/videberta-base",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"DebertaV2ForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_head_size": 64,
|
| 7 |
+
"attention_probs_dropout_prob": 0.1,
|
| 8 |
+
"hidden_act": "gelu",
|
| 9 |
+
"hidden_dropout_prob": 0.1,
|
| 10 |
+
"hidden_size": 768,
|
| 11 |
+
"id2label": {
|
| 12 |
+
"0": "false",
|
| 13 |
+
"1": "true"
|
| 14 |
+
},
|
| 15 |
+
"initializer_range": 0.02,
|
| 16 |
+
"intermediate_size": 3072,
|
| 17 |
+
"label2id": {
|
| 18 |
+
"false": 0,
|
| 19 |
+
"true": 1
|
| 20 |
+
},
|
| 21 |
+
"layer_norm_eps": 1e-07,
|
| 22 |
+
"max_length": 1024,
|
| 23 |
+
"max_position_embeddings": 1024,
|
| 24 |
+
"max_relative_positions": -1,
|
| 25 |
+
"model_type": "deberta-v2",
|
| 26 |
+
"norm_rel_ebd": "layer_norm",
|
| 27 |
+
"num_attention_heads": 12,
|
| 28 |
+
"num_hidden_layers": 12,
|
| 29 |
+
"pad_token_id": 0,
|
| 30 |
+
"pooler_dropout": 0,
|
| 31 |
+
"pooler_hidden_act": "gelu",
|
| 32 |
+
"pooler_hidden_size": 768,
|
| 33 |
+
"pos_att_type": [
|
| 34 |
+
"p2c",
|
| 35 |
+
"c2p"
|
| 36 |
+
],
|
| 37 |
+
"position_biased_input": false,
|
| 38 |
+
"position_buckets": 256,
|
| 39 |
+
"relative_attention": true,
|
| 40 |
+
"share_att_key": true,
|
| 41 |
+
"torch_dtype": "float32",
|
| 42 |
+
"transformers_version": "4.35.0.dev0",
|
| 43 |
+
"type_vocab_size": 0,
|
| 44 |
+
"vocab_size": 128000
|
| 45 |
+
}
|
checkpoint-900/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b7689cb9e578e6ff23c472b6b89d44ec2dc061eb80574d224770d15d48882a8b
|
| 3 |
+
size 1474893573
|
checkpoint-900/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:baa9ee16cd3de8ccdda427441b280c6d692e941eb8eaea43015b03066b176397
|
| 3 |
+
size 737457141
|
checkpoint-900/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a1c1f569431d58283f3fbc997efce4b3e16cd01ee209c1f878c91243e40de338
|
| 3 |
+
size 14575
|
checkpoint-900/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dc356ec59d335c7b0c5cd452933492e17947e07adfe349a9499875c8d3aab306
|
| 3 |
+
size 627
|
checkpoint-900/special_tokens_map.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "[CLS]",
|
| 3 |
+
"cls_token": "[CLS]",
|
| 4 |
+
"eos_token": "[SEP]",
|
| 5 |
+
"mask_token": "[MASK]",
|
| 6 |
+
"pad_token": "[PAD]",
|
| 7 |
+
"sep_token": "[SEP]",
|
| 8 |
+
"unk_token": "[UNK]"
|
| 9 |
+
}
|
checkpoint-900/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-900/tokenizer_config.json
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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": "[CLS]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "[SEP]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "[UNK]",
|
| 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 |
+
"bos_token": "[CLS]",
|
| 45 |
+
"clean_up_tokenization_spaces": true,
|
| 46 |
+
"cls_token": "[CLS]",
|
| 47 |
+
"do_lower_case": false,
|
| 48 |
+
"eos_token": "[SEP]",
|
| 49 |
+
"mask_token": "[MASK]",
|
| 50 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 51 |
+
"pad_token": "[PAD]",
|
| 52 |
+
"sep_token": "[SEP]",
|
| 53 |
+
"sp_model_kwargs": {},
|
| 54 |
+
"split_by_punct": false,
|
| 55 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
| 56 |
+
"unk_token": "[UNK]",
|
| 57 |
+
"vocab_type": "spm"
|
| 58 |
+
}
|
checkpoint-900/trainer_state.json
ADDED
|
@@ -0,0 +1,187 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.5623977184295654,
|
| 3 |
+
"best_model_checkpoint": "/kaggle/output/checkpoint-900",
|
| 4 |
+
"epoch": 1.859504132231405,
|
| 5 |
+
"eval_steps": 50,
|
| 6 |
+
"global_step": 900,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"learning_rate": 1.6666666666666667e-06,
|
| 14 |
+
"loss": 0.6979,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.1,
|
| 19 |
+
"eval_accuracy": 0.75,
|
| 20 |
+
"eval_loss": 0.6723740696907043,
|
| 21 |
+
"eval_runtime": 28.903,
|
| 22 |
+
"eval_samples_per_second": 40.965,
|
| 23 |
+
"eval_steps_per_second": 20.482,
|
| 24 |
+
"step": 50
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.21,
|
| 28 |
+
"eval_accuracy": 0.75,
|
| 29 |
+
"eval_loss": 0.6272028088569641,
|
| 30 |
+
"eval_runtime": 28.756,
|
| 31 |
+
"eval_samples_per_second": 41.174,
|
| 32 |
+
"eval_steps_per_second": 20.587,
|
| 33 |
+
"step": 100
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.31,
|
| 37 |
+
"eval_accuracy": 0.75,
|
| 38 |
+
"eval_loss": 0.5726658701896667,
|
| 39 |
+
"eval_runtime": 28.7791,
|
| 40 |
+
"eval_samples_per_second": 41.141,
|
| 41 |
+
"eval_steps_per_second": 20.57,
|
| 42 |
+
"step": 150
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"epoch": 0.41,
|
| 46 |
+
"eval_accuracy": 0.75,
|
| 47 |
+
"eval_loss": 0.5658872723579407,
|
| 48 |
+
"eval_runtime": 28.8005,
|
| 49 |
+
"eval_samples_per_second": 41.11,
|
| 50 |
+
"eval_steps_per_second": 20.555,
|
| 51 |
+
"step": 200
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.52,
|
| 55 |
+
"eval_accuracy": 0.75,
|
| 56 |
+
"eval_loss": 0.5675005316734314,
|
| 57 |
+
"eval_runtime": 28.7479,
|
| 58 |
+
"eval_samples_per_second": 41.186,
|
| 59 |
+
"eval_steps_per_second": 20.593,
|
| 60 |
+
"step": 250
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 0.62,
|
| 64 |
+
"eval_accuracy": 0.75,
|
| 65 |
+
"eval_loss": 0.5632852911949158,
|
| 66 |
+
"eval_runtime": 28.807,
|
| 67 |
+
"eval_samples_per_second": 41.101,
|
| 68 |
+
"eval_steps_per_second": 20.551,
|
| 69 |
+
"step": 300
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.72,
|
| 73 |
+
"eval_accuracy": 0.75,
|
| 74 |
+
"eval_loss": 0.5931060910224915,
|
| 75 |
+
"eval_runtime": 29.0233,
|
| 76 |
+
"eval_samples_per_second": 40.795,
|
| 77 |
+
"eval_steps_per_second": 20.397,
|
| 78 |
+
"step": 350
|
| 79 |
+
},
|
| 80 |
+
{
|
| 81 |
+
"epoch": 0.83,
|
| 82 |
+
"eval_accuracy": 0.75,
|
| 83 |
+
"eval_loss": 0.5643754005432129,
|
| 84 |
+
"eval_runtime": 28.8155,
|
| 85 |
+
"eval_samples_per_second": 41.089,
|
| 86 |
+
"eval_steps_per_second": 20.545,
|
| 87 |
+
"step": 400
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.93,
|
| 91 |
+
"eval_accuracy": 0.75,
|
| 92 |
+
"eval_loss": 0.5633080005645752,
|
| 93 |
+
"eval_runtime": 29.0501,
|
| 94 |
+
"eval_samples_per_second": 40.757,
|
| 95 |
+
"eval_steps_per_second": 20.379,
|
| 96 |
+
"step": 450
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 1.03,
|
| 100 |
+
"eval_accuracy": 0.75,
|
| 101 |
+
"eval_loss": 0.5926231145858765,
|
| 102 |
+
"eval_runtime": 28.7918,
|
| 103 |
+
"eval_samples_per_second": 41.123,
|
| 104 |
+
"eval_steps_per_second": 20.561,
|
| 105 |
+
"step": 500
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 1.14,
|
| 109 |
+
"eval_accuracy": 0.75,
|
| 110 |
+
"eval_loss": 0.5648908019065857,
|
| 111 |
+
"eval_runtime": 28.8558,
|
| 112 |
+
"eval_samples_per_second": 41.032,
|
| 113 |
+
"eval_steps_per_second": 20.516,
|
| 114 |
+
"step": 550
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 1.24,
|
| 118 |
+
"eval_accuracy": 0.75,
|
| 119 |
+
"eval_loss": 0.5628103017807007,
|
| 120 |
+
"eval_runtime": 28.9143,
|
| 121 |
+
"eval_samples_per_second": 40.949,
|
| 122 |
+
"eval_steps_per_second": 20.474,
|
| 123 |
+
"step": 600
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 1.34,
|
| 127 |
+
"eval_accuracy": 0.75,
|
| 128 |
+
"eval_loss": 0.5630568265914917,
|
| 129 |
+
"eval_runtime": 28.8676,
|
| 130 |
+
"eval_samples_per_second": 41.015,
|
| 131 |
+
"eval_steps_per_second": 20.507,
|
| 132 |
+
"step": 650
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"epoch": 1.45,
|
| 136 |
+
"eval_accuracy": 0.75,
|
| 137 |
+
"eval_loss": 0.5687929391860962,
|
| 138 |
+
"eval_runtime": 28.9082,
|
| 139 |
+
"eval_samples_per_second": 40.957,
|
| 140 |
+
"eval_steps_per_second": 20.479,
|
| 141 |
+
"step": 700
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 1.55,
|
| 145 |
+
"eval_accuracy": 0.75,
|
| 146 |
+
"eval_loss": 0.5623889565467834,
|
| 147 |
+
"eval_runtime": 28.8406,
|
| 148 |
+
"eval_samples_per_second": 41.053,
|
| 149 |
+
"eval_steps_per_second": 20.527,
|
| 150 |
+
"step": 750
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 1.65,
|
| 154 |
+
"eval_accuracy": 0.75,
|
| 155 |
+
"eval_loss": 0.5629884600639343,
|
| 156 |
+
"eval_runtime": 28.8402,
|
| 157 |
+
"eval_samples_per_second": 41.054,
|
| 158 |
+
"eval_steps_per_second": 20.527,
|
| 159 |
+
"step": 800
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 1.76,
|
| 163 |
+
"eval_accuracy": 0.75,
|
| 164 |
+
"eval_loss": 0.5627905130386353,
|
| 165 |
+
"eval_runtime": 29.4658,
|
| 166 |
+
"eval_samples_per_second": 40.182,
|
| 167 |
+
"eval_steps_per_second": 20.091,
|
| 168 |
+
"step": 850
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 1.86,
|
| 172 |
+
"eval_accuracy": 0.75,
|
| 173 |
+
"eval_loss": 0.5623977184295654,
|
| 174 |
+
"eval_runtime": 29.0192,
|
| 175 |
+
"eval_samples_per_second": 40.801,
|
| 176 |
+
"eval_steps_per_second": 20.4,
|
| 177 |
+
"step": 900
|
| 178 |
+
}
|
| 179 |
+
],
|
| 180 |
+
"logging_steps": 1000,
|
| 181 |
+
"max_steps": 1000,
|
| 182 |
+
"num_train_epochs": 3,
|
| 183 |
+
"save_steps": 100,
|
| 184 |
+
"total_flos": 2907702695903472.0,
|
| 185 |
+
"trial_name": null,
|
| 186 |
+
"trial_params": null
|
| 187 |
+
}
|
checkpoint-900/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fbe5e88ca49040823bdb83dc035b8a4470c58ae105b0482f624b7d48f5e08cbe
|
| 3 |
+
size 4027
|