add model files
Browse files- .gitattributes +1 -0
- config.json +173 -0
- pytorch_model.bin +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- trainer_state.json +288 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitattributes
CHANGED
@@ -25,3 +25,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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config.json
ADDED
@@ -0,0 +1,173 @@
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{
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"_name_or_path": "./drive/MyDrive/mbert2mbert/checkpoint-15000",
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"architectures": [
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"EncoderDecoderModel"
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],
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"decoder": {
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"_name_or_path": "bert-base-multilingual-cased",
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"add_cross_attention": true,
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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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"bad_words_ids": null,
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"bos_token_id": null,
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"chunk_size_feed_forward": 0,
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"decoder_start_token_id": null,
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"directionality": "bidi",
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"diversity_penalty": 0.0,
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"do_sample": false,
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"early_stopping": false,
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"encoder_no_repeat_ngram_size": 0,
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"eos_token_id": null,
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"forced_eos_token_id": null,
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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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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"is_decoder": true,
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"is_encoder_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"layer_norm_eps": 1e-12,
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"length_penalty": 1.0,
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"max_length": 20,
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"max_position_embeddings": 512,
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"min_length": 0,
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"model_type": "bert",
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"no_repeat_ngram_size": 0,
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"num_attention_heads": 12,
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"num_beam_groups": 1,
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"num_beams": 1,
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"num_hidden_layers": 12,
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"num_return_sequences": 1,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_scores": false,
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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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"prefix": null,
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"pruned_heads": {},
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
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"return_dict": true,
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"return_dict_in_generate": false,
|
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"sep_token_id": null,
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"task_specific_params": null,
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"temperature": 1.0,
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"tie_encoder_decoder": false,
|
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"tie_word_embeddings": true,
|
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"tokenizer_class": null,
|
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"top_k": 50,
|
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"top_p": 1.0,
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"torchscript": false,
|
79 |
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"transformers_version": "4.5.1",
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"type_vocab_size": 2,
|
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"use_bfloat16": false,
|
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"use_cache": true,
|
83 |
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"vocab_size": 119547
|
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},
|
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"decoder_start_token_id": 101,
|
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"encoder": {
|
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"_name_or_path": "bert-base-multilingual-cased",
|
88 |
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"add_cross_attention": false,
|
89 |
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"architectures": [
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"BertForMaskedLM"
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],
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92 |
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"attention_probs_dropout_prob": 0.1,
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"bad_words_ids": null,
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"bos_token_id": null,
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"chunk_size_feed_forward": 0,
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"decoder_start_token_id": null,
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"directionality": "bidi",
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"diversity_penalty": 0.0,
|
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"do_sample": false,
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"early_stopping": false,
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"eos_token_id": null,
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"finetuning_task": null,
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"forced_bos_token_id": null,
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"forced_eos_token_id": null,
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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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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"is_decoder": false,
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"is_encoder_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"layer_norm_eps": 1e-12,
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"length_penalty": 1.0,
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"max_length": 20,
|
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"max_position_embeddings": 512,
|
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"min_length": 0,
|
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"model_type": "bert",
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"no_repeat_ngram_size": 0,
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"num_attention_heads": 12,
|
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"num_beam_groups": 1,
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"num_beams": 1,
|
132 |
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"num_hidden_layers": 12,
|
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"num_return_sequences": 1,
|
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"output_attentions": false,
|
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"output_hidden_states": false,
|
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"output_scores": false,
|
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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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"prefix": null,
|
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"pruned_heads": {},
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"remove_invalid_values": false,
|
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"repetition_penalty": 1.0,
|
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"return_dict": true,
|
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"return_dict_in_generate": false,
|
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"sep_token_id": null,
|
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"task_specific_params": null,
|
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"temperature": 1.0,
|
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"tie_encoder_decoder": false,
|
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"tie_word_embeddings": true,
|
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"tokenizer_class": null,
|
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"top_k": 50,
|
157 |
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"top_p": 1.0,
|
158 |
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"torchscript": false,
|
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"transformers_version": "4.5.1",
|
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"type_vocab_size": 2,
|
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"use_bfloat16": false,
|
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"use_cache": true,
|
163 |
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"vocab_size": 119547
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164 |
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},
|
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"eos_token_id": 102,
|
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"is_encoder_decoder": true,
|
167 |
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"max_length": 42,
|
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"min_length": 5,
|
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"model_type": "encoder-decoder",
|
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"pad_token_id": 0,
|
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"tie_encoder_decoder": true,
|
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"vocab_size": 119547
|
173 |
+
}
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pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:a6ff7ec04d79d8d46be651dbf957afccf1d7e7870b3cbd1f9f05c68763258edc
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size 827914229
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scheduler.pt
ADDED
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
|
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+
oid sha256:7a43880977f4f83b4040c24bb11b6e5795e817a17a1668080851028cedc7b6fa
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size 623
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special_tokens_map.json
ADDED
@@ -0,0 +1 @@
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer_config.json
ADDED
@@ -0,0 +1 @@
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{"do_lower_case": false, "do_basic_tokenize": true, "never_split": null, "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, "tokenizer_file": "/root/.cache/huggingface/transformers/46880f3b0081fda494a4e15b05787692aa4c1e21e0ff2428ba8b14d4eda0784d.b33e51591f94f17c238ee9b1fac75b96ff2678cbaed6e108feadb3449d18dc24", "name_or_path": "bert-base-multilingual-cased"}
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trainer_state.json
ADDED
@@ -0,0 +1,288 @@
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1 |
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 7.175986495041148,
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"global_step": 17000,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
|
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.42,
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"learning_rate": 3.3333333333333335e-05,
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"loss": 4.4431,
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"step": 1000
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},
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{
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"epoch": 0.42,
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"eval_loss": 3.1658337116241455,
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"eval_rouge-1": 0.1104,
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"eval_rouge-2": 0.0147,
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"eval_rouge-l": 0.1071,
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"eval_runtime": 938.5942,
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"eval_samples_per_second": 4.447,
|
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"step": 1000
|
25 |
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},
|
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{
|
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"epoch": 0.84,
|
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"learning_rate": 4.8873366381252815e-05,
|
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"loss": 3.0017,
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"step": 2000
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},
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{
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"epoch": 0.84,
|
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"eval_loss": 2.450249195098877,
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"eval_rouge-1": 0.2256,
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"eval_rouge-2": 0.0714,
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vocab.txt
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