first commit
Browse files- config.json +26 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- trainer_state.json +632 -0
- vocab.json +0 -0
config.json
ADDED
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{
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"_name_or_path": "voidism/diffcse-roberta-base-trans",
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"architectures": [
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"RobertaModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.2.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:887994f8b60a5e72c2b3063b05472612ef439c3862d0f887262296a8775e206c
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+
size 1487809454
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
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tokenizer_config.json
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{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "special_tokens_map_file": null, "name_or_path": "./roberta-base"}
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trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.8359799918026352,
|
| 3 |
+
"best_model_checkpoint": "result/simcse-celectra-amlp-dmlp-bs128-lr2e-6-mask0.40-elew0.01-roberta-base",
|
| 4 |
+
"epoch": 1.0,
|
| 5 |
+
"global_step": 7813,
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| 6 |
+
"is_hyper_param_search": false,
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| 7 |
+
"is_local_process_zero": true,
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| 8 |
+
"is_world_process_zero": true,
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| 9 |
+
"log_history": [
|
| 10 |
+
{
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| 11 |
+
"electra_acc": 0.2448,
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| 12 |
+
"electra_fix_acc": 0.006,
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| 13 |
+
"electra_rep_acc": 0.9912,
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| 14 |
+
"epoch": 0.0,
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| 15 |
+
"learning_rate": 1.9997440163829513e-06,
|
| 16 |
+
"loss": 8.6888,
|
| 17 |
+
"neg_sim": 0.2041,
|
| 18 |
+
"pos_sim": 0.3651,
|
| 19 |
+
"step": 1
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"epoch": 0.02,
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| 23 |
+
"eval_avg_sts": 0.7368351609735859,
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| 24 |
+
"eval_sickr_spearman": 0.6964049570574558,
|
| 25 |
+
"eval_stsb_spearman": 0.7772653648897162,
|
| 26 |
+
"step": 125
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| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.03,
|
| 30 |
+
"eval_avg_sts": 0.7530561409181189,
|
| 31 |
+
"eval_sickr_spearman": 0.707297882521504,
|
| 32 |
+
"eval_stsb_spearman": 0.7988143993147339,
|
| 33 |
+
"step": 250
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| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.05,
|
| 37 |
+
"eval_avg_sts": 0.7605110871922394,
|
| 38 |
+
"eval_sickr_spearman": 0.7124740982612865,
|
| 39 |
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"eval_stsb_spearman": 0.8085480761231921,
|
| 40 |
+
"step": 375
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"electra_acc": 0.7243,
|
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