Nikita Moghe Moghe
commited on
Commit
•
87da19a
1
Parent(s):
5330033
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
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{
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"_name_or_path": "bert-base-multilingual-uncased",
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"directionality": "bidi",
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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-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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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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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"transformers_version": "4.2.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 105879
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}
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eval_results_mlm.txt
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perplexity = 8703.36088420641
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:31f8e5b1f0ee45f0fa904f4af6881b283120c7309d5c85fa1dc9c874ecd04632
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size 669910510
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special_tokens_map.json
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{"bos_token": "<S>", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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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, "name_or_path": "bert-base-multilingual-uncased"}
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train_results.txt
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epoch = 20.0
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train_runtime = 72937.5039
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train_samples_per_second = 3.428
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trainer_state.json
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{
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"best_metric": null,
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| 3 |
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"best_model_checkpoint": null,
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| 4 |
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"epoch": 20.0,
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| 5 |
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"global_step": 250000,
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| 6 |
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"is_hyper_param_search": false,
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| 7 |
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"is_local_process_zero": true,
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| 8 |
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"is_world_process_zero": true,
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| 9 |
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"log_history": [
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| 10 |
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{
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| 11 |
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"epoch": 0.2,
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| 12 |
+
"learning_rate": 4.9500000000000004e-05,
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| 13 |
+
"loss": 5.8035,
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| 14 |
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"step": 2500
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| 15 |
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},
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| 16 |
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{
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"epoch": 0.4,
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| 18 |
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"learning_rate": 4.9e-05,
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| 19 |
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"loss": 5.6846,
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| 20 |
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"step": 5000
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| 21 |
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},
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| 22 |
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{
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| 23 |
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"epoch": 0.6,
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| 24 |
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"learning_rate": 4.85e-05,
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| 25 |
+
"loss": 5.6715,
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| 26 |
+
"step": 7500
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},
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| 28 |
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{
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| 29 |
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"epoch": 0.8,
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| 30 |
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"learning_rate": 4.8e-05,
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| 31 |
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"loss": 5.6443,
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| 32 |
+
"step": 10000
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| 33 |
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},
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| 34 |
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{
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| 35 |
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"epoch": 1.0,
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| 36 |
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"learning_rate": 4.75e-05,
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| 37 |
+
"loss": 5.6103,
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| 38 |
+
"step": 12500
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| 39 |
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},
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| 40 |
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{
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vocab.txt
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