Commit
·
c89dbb8
1
Parent(s):
7fcba6a
Upload 11 files
Browse files- all_results.json +22 -0
- config.json +43 -0
- eval_results.json +11 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +14 -0
- trainer_state.json +2069 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
all_results.json
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{
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"epoch": 3.0,
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"eval_loss": 0.013624305836856365,
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"eval_mem_cpu_alloc_delta": 0,
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"eval_mem_cpu_peaked_delta": 0,
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"eval_mem_gpu_alloc_delta": 0,
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"eval_mem_gpu_peaked_delta": 69882368,
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"eval_mse": 0.013624305836856365,
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"eval_runtime": 98.9297,
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"eval_samples_per_second": 141.515,
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"init_mem_cpu_alloc_delta": 1509859328,
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"init_mem_cpu_peaked_delta": 0,
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"init_mem_gpu_alloc_delta": 439081472,
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"init_mem_gpu_peaked_delta": 0,
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"train_mem_cpu_alloc_delta": 739172352,
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"train_mem_cpu_peaked_delta": 121167872,
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"train_mem_gpu_alloc_delta": 1333273088,
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"train_mem_gpu_peaked_delta": 1656885760,
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"train_runtime": 51961.6794,
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"train_samples": 900000,
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"train_samples_per_second": 3.248
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}
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config.json
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{
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"_name_or_path": "google/electra-base-discriminator",
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"architectures": [
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"ElectraForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"embedding_size": 768,
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"finetuning_task": "custom",
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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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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "electra",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "regression",
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"summary_activation": "gelu",
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"summary_last_dropout": 0.1,
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"summary_type": "first",
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"summary_use_proj": true,
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"transformers_version": "4.6.1",
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"type_vocab_size": 2,
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"vocab_size": 30522
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}
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eval_results.json
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{
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"epoch": 3.0,
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"eval_loss": 0.013624305836856365,
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"eval_mem_cpu_alloc_delta": 0,
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"eval_mem_cpu_peaked_delta": 0,
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"eval_mem_gpu_alloc_delta": 0,
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"eval_mem_gpu_peaked_delta": 69882368,
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"eval_mse": 0.013624305836856365,
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"eval_runtime": 98.9297,
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"eval_samples_per_second": 141.515
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}
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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:dbe6398480a49eb71e048ed73734aae4d7b5b664d2c52ede1e861143d4d57522
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size 438029677
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{"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, "special_tokens_map_file": null, "name_or_path": "google/electra-base-discriminator"}
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train_results.json
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{
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"epoch": 3.0,
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"init_mem_cpu_alloc_delta": 1509859328,
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"init_mem_cpu_peaked_delta": 0,
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"init_mem_gpu_alloc_delta": 439081472,
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"init_mem_gpu_peaked_delta": 0,
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"train_mem_cpu_alloc_delta": 739172352,
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"train_mem_cpu_peaked_delta": 121167872,
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"train_mem_gpu_alloc_delta": 1333273088,
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"train_mem_gpu_peaked_delta": 1656885760,
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"train_runtime": 51961.6794,
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"train_samples": 900000,
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"train_samples_per_second": 3.248
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}
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trainer_state.json
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