End of training
Browse files- 1_Pooling/config.json +9 -9
- README.md +0 -0
- config.json +27 -27
- config_sentence_transformers.json +9 -9
- model.safetensors +1 -1
- modules.json +19 -19
- sentence_bert_config.json +3 -3
- special_tokens_map.json +37 -37
- tokenizer_config.json +64 -64
- training_args.bin +2 -2
1_Pooling/config.json
CHANGED
@@ -1,10 +1,10 @@
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{
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"word_embedding_dimension": 312,
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"pooling_mode_cls_token": true,
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"pooling_mode_mean_tokens": false,
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"pooling_mode_max_tokens": false,
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"pooling_mode_mean_sqrt_len_tokens": false,
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"pooling_mode_lasttoken": false,
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"include_prompt": true
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{
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"pooling_mode_cls_token": true,
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}
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README.md
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See raw diff
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config.json
CHANGED
@@ -1,27 +1,27 @@
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{
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"_name_or_path": "cointegrated/rubert-tiny2",
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"architectures": [
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"BertModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"emb_size": 312,
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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": 312,
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"initializer_range": 0.02,
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"intermediate_size": 600,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 2048,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 3,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 83828
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}
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{
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"_name_or_path": "cointegrated/rubert-tiny2",
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"architectures": [
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"BertModel"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"emb_size": 312,
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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": 312,
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"initializer_range": 0.02,
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"intermediate_size": 600,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 2048,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 3,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 83828
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}
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config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "3.0
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"transformers": "4.44.2",
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"pytorch": "2.
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},
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"prompts": {},
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"default_prompt_name": null,
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"similarity_fn_name": null
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}
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{
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"__version__": {
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"sentence_transformers": "3.1.0",
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"transformers": "4.44.2",
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"pytorch": "2.4.1+cu118"
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},
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"prompts": {},
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"default_prompt_name": null,
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model.safetensors
CHANGED
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modules.json
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@@ -1,20 +1,20 @@
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[
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{
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"idx": 0,
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"name": "0",
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"path": "",
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"type": "sentence_transformers.models.Transformer"
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{
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"idx": 1,
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"name": "1",
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"path": "1_Pooling",
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"type": "sentence_transformers.models.Pooling"
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},
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{
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"idx": 2,
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"name": "2",
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"path": "2_Normalize",
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"type": "sentence_transformers.models.Normalize"
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}
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[
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"name": "1",
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"path": "1_Pooling",
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"type": "sentence_transformers.models.Pooling"
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},
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{
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"idx": 2,
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"name": "2",
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"path": "2_Normalize",
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"type": "sentence_transformers.models.Normalize"
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}
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]
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sentence_bert_config.json
CHANGED
@@ -1,4 +1,4 @@
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{
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"max_seq_length": 2048,
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"do_lower_case": false
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}
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{
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"max_seq_length": 2048,
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"do_lower_case": false
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special_tokens_map.json
CHANGED
@@ -1,37 +1,37 @@
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{
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"cls_token": {
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"content": "[CLS]",
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"pad_token": {
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"content": "[PAD]",
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"lstrip": false,
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"unk_token": {
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tokenizer_config.json
CHANGED
@@ -1,64 +1,64 @@
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training_args.bin
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