Commit
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78b62f3
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Parent(s):
e8eebae
feat: push custom model
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- 1_Pooling/config.json +10 -0
- README.md +38 -0
- checkpoint-1000/1_Pooling/config.json +10 -0
- checkpoint-1000/README.md +57 -0
- checkpoint-1000/config.json +31 -0
- checkpoint-1000/config_sentence_transformers.json +9 -0
- checkpoint-1000/model.safetensors +3 -0
- checkpoint-1000/modules.json +20 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/rng_state.pth +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/sentence_bert_config.json +4 -0
- checkpoint-1000/special_tokens_map.json +37 -0
- checkpoint-1000/tokenizer.json +0 -0
- checkpoint-1000/tokenizer_config.json +64 -0
- checkpoint-1000/trainer_state.json +28 -0
- checkpoint-1000/training_args.bin +3 -0
- checkpoint-1000/vocab.txt +0 -0
- checkpoint-1500/1_Pooling/config.json +10 -0
- checkpoint-1500/README.md +57 -0
- checkpoint-1500/config.json +31 -0
- checkpoint-1500/config_sentence_transformers.json +9 -0
- checkpoint-1500/model.safetensors +3 -0
- checkpoint-1500/modules.json +20 -0
- checkpoint-1500/optimizer.pt +3 -0
- checkpoint-1500/rng_state.pth +3 -0
- checkpoint-1500/scheduler.pt +3 -0
- checkpoint-1500/sentence_bert_config.json +4 -0
- checkpoint-1500/special_tokens_map.json +37 -0
- checkpoint-1500/tokenizer.json +0 -0
- checkpoint-1500/tokenizer_config.json +64 -0
- checkpoint-1500/trainer_state.json +28 -0
- checkpoint-1500/training_args.bin +3 -0
- checkpoint-1500/vocab.txt +0 -0
- checkpoint-2000/1_Pooling/config.json +10 -0
- checkpoint-2000/README.md +57 -0
- checkpoint-2000/config.json +31 -0
- checkpoint-2000/config_sentence_transformers.json +9 -0
- checkpoint-2000/model.safetensors +3 -0
- checkpoint-2000/modules.json +20 -0
- checkpoint-2000/optimizer.pt +3 -0
- checkpoint-2000/rng_state.pth +3 -0
- checkpoint-2000/scheduler.pt +3 -0
- checkpoint-2000/sentence_bert_config.json +4 -0
- checkpoint-2000/special_tokens_map.json +37 -0
- checkpoint-2000/tokenizer.json +0 -0
- checkpoint-2000/tokenizer_config.json +64 -0
- checkpoint-2000/trainer_state.json +35 -0
- checkpoint-2000/training_args.bin +3 -0
- checkpoint-2000/vocab.txt +0 -0
1_Pooling/config.json
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{
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"word_embedding_dimension": 384,
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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_weightedmean_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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README.md
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---
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license: apache-2.0
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datasets:
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- fine-tuned/FiQA2018-32000-384-gpt-4o-2024-05-13-83115388
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- allenai/c4
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language:
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- en
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- en
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pipeline_tag: feature-extraction
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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- mteb
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---
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This model is a fine-tuned version of [**BAAI/bge-small-en-v1.5**](https://huggingface.co/BAAI/bge-small-en-v1.5) designed for the following use case:
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None
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## How to Use
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This model can be easily integrated into your NLP pipeline for tasks such as text classification, sentiment analysis, entity recognition, and more. Here's a simple example to get you started:
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```python
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from sentence_transformers import SentenceTransformer
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from sentence_transformers.util import cos_sim
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model = SentenceTransformer(
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'fine-tuned/FiQA2018-32000-384-gpt-4o-2024-05-13-83115388',
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trust_remote_code=True
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)
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embeddings = model.encode([
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'first text to embed',
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'second text to embed'
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])
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print(cos_sim(embeddings[0], embeddings[1]))
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```
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checkpoint-1000/1_Pooling/config.json
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{
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"word_embedding_dimension": 384,
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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_weightedmean_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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checkpoint-1000/README.md
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---
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library_name: sentence-transformers
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pipeline_tag: sentence-similarity
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tags:
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- sentence-transformers
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- feature-extraction
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- sentence-similarity
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---
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# {MODEL_NAME}
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This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
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<!--- Describe your model here -->
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## Usage (Sentence-Transformers)
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Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
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```
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pip install -U sentence-transformers
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```
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Then you can use the model like this:
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```python
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from sentence_transformers import SentenceTransformer
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sentences = ["This is an example sentence", "Each sentence is converted"]
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model = SentenceTransformer('{MODEL_NAME}')
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embeddings = model.encode(sentences)
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print(embeddings)
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```
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## Evaluation Results
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<!--- Describe how your model was evaluated -->
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For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
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## Full Model Architecture
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```
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SentenceTransformer(
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(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel
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(1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
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(2): Normalize()
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)
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```
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## Citing & Authors
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<!--- Describe where people can find more information -->
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checkpoint-1000/config.json
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{
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"_name_or_path": "mytmp/finetuned_model/checkpoint-1000",
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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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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 384,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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"label2id": {
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"LABEL_0": 0
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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": "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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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.40.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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checkpoint-1000/config_sentence_transformers.json
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{
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"__version__": {
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"sentence_transformers": "2.7.0",
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"transformers": "4.40.2",
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"pytorch": "2.3.1+cu121"
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},
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"prompts": {},
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"default_prompt_name": null
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}
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checkpoint-1000/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c8bae320b04cf8523726ccdc1cf8f9fbd891110d54c3d08350d8409012d303c7
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size 133462128
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checkpoint-1000/modules.json
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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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{
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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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checkpoint-1000/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c234cddc42b822538f26da0a89087301e5120c7f39190e4b3d45c4db0b465839
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size 265862074
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checkpoint-1000/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e40146d865e5a2e5b992c36bbc5bb548551ba95e6c0a24882dfd2ad51fb4714
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size 14244
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checkpoint-1000/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:466c3d3189c3f8cc09e2d4f792eb251ebb582b6634811247be33ab4bd196b386
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size 1064
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checkpoint-1000/sentence_bert_config.json
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{
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"max_seq_length": 512,
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"do_lower_case": false
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}
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checkpoint-1000/special_tokens_map.json
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{
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"cls_token": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"mask_token": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"sep_token": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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checkpoint-1000/tokenizer.json
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checkpoint-1000/tokenizer_config.json
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{
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"0": {
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"lstrip": false,
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"normalized": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"truncation_strategy": "longest_first",
|
63 |
+
"unk_token": "[UNK]"
|
64 |
+
}
|
checkpoint-1000/trainer_state.json
ADDED
@@ -0,0 +1,28 @@
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|
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|
|
|
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|
|
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|
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|
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|
|
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|
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|
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|
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|
|
|
|
|
|
|
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|
1 |
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{
|
2 |
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"best_metric": null,
|
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"best_model_checkpoint": null,
|
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"epoch": 0.5,
|
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"eval_steps": 500,
|
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"global_step": 1000,
|
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"is_hyper_param_search": false,
|
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"is_local_process_zero": true,
|
9 |
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"is_world_process_zero": true,
|
10 |
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"log_history": [
|
11 |
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{
|
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"epoch": 0.5,
|
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|
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"learning_rate": 8.336666666666668e-06,
|
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"loss": 0.5106,
|
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|
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}
|
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],
|
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"logging_steps": 1000,
|
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"max_steps": 6000,
|
21 |
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"num_input_tokens_seen": 0,
|
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"num_train_epochs": 3,
|
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"save_steps": 500,
|
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"total_flos": 0.0,
|
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"train_batch_size": 16,
|
26 |
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"trial_name": null,
|
27 |
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"trial_params": null
|
28 |
+
}
|
checkpoint-1000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:1d19824e88981319b57ccdc1140f81eba3139d776ac7250264bf5cfd314d9196
|
3 |
+
size 5176
|
checkpoint-1000/vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-1500/1_Pooling/config.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
1 |
+
{
|
2 |
+
"word_embedding_dimension": 384,
|
3 |
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"pooling_mode_cls_token": true,
|
4 |
+
"pooling_mode_mean_tokens": false,
|
5 |
+
"pooling_mode_max_tokens": false,
|
6 |
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"pooling_mode_mean_sqrt_len_tokens": false,
|
7 |
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"pooling_mode_weightedmean_tokens": false,
|
8 |
+
"pooling_mode_lasttoken": false,
|
9 |
+
"include_prompt": true
|
10 |
+
}
|
checkpoint-1500/README.md
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: sentence-transformers
|
3 |
+
pipeline_tag: sentence-similarity
|
4 |
+
tags:
|
5 |
+
- sentence-transformers
|
6 |
+
- feature-extraction
|
7 |
+
- sentence-similarity
|
8 |
+
|
9 |
+
---
|
10 |
+
|
11 |
+
# {MODEL_NAME}
|
12 |
+
|
13 |
+
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
|
14 |
+
|
15 |
+
<!--- Describe your model here -->
|
16 |
+
|
17 |
+
## Usage (Sentence-Transformers)
|
18 |
+
|
19 |
+
Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
|
20 |
+
|
21 |
+
```
|
22 |
+
pip install -U sentence-transformers
|
23 |
+
```
|
24 |
+
|
25 |
+
Then you can use the model like this:
|
26 |
+
|
27 |
+
```python
|
28 |
+
from sentence_transformers import SentenceTransformer
|
29 |
+
sentences = ["This is an example sentence", "Each sentence is converted"]
|
30 |
+
|
31 |
+
model = SentenceTransformer('{MODEL_NAME}')
|
32 |
+
embeddings = model.encode(sentences)
|
33 |
+
print(embeddings)
|
34 |
+
```
|
35 |
+
|
36 |
+
|
37 |
+
|
38 |
+
## Evaluation Results
|
39 |
+
|
40 |
+
<!--- Describe how your model was evaluated -->
|
41 |
+
|
42 |
+
For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
|
43 |
+
|
44 |
+
|
45 |
+
|
46 |
+
## Full Model Architecture
|
47 |
+
```
|
48 |
+
SentenceTransformer(
|
49 |
+
(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel
|
50 |
+
(1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
|
51 |
+
(2): Normalize()
|
52 |
+
)
|
53 |
+
```
|
54 |
+
|
55 |
+
## Citing & Authors
|
56 |
+
|
57 |
+
<!--- Describe where people can find more information -->
|
checkpoint-1500/config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
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|
|
|
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|
1 |
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{
|
2 |
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"_name_or_path": "mytmp/finetuned_model/checkpoint-1500",
|
3 |
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"architectures": [
|
4 |
+
"BertModel"
|
5 |
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],
|
6 |
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|
7 |
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"classifier_dropout": null,
|
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"hidden_act": "gelu",
|
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|
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"hidden_size": 384,
|
11 |
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"id2label": {
|
12 |
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"0": "LABEL_0"
|
13 |
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},
|
14 |
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|
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|
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|
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},
|
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|
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|
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"model_type": "bert",
|
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|
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"num_hidden_layers": 12,
|
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|
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|
26 |
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"torch_dtype": "float32",
|
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|
28 |
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"type_vocab_size": 2,
|
29 |
+
"use_cache": true,
|
30 |
+
"vocab_size": 30522
|
31 |
+
}
|
checkpoint-1500/config_sentence_transformers.json
ADDED
@@ -0,0 +1,9 @@
|
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|
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|
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|
|
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|
|
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|
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|
1 |
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{
|
2 |
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"__version__": {
|
3 |
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"sentence_transformers": "2.7.0",
|
4 |
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"transformers": "4.40.2",
|
5 |
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"pytorch": "2.3.1+cu121"
|
6 |
+
},
|
7 |
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"prompts": {},
|
8 |
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"default_prompt_name": null
|
9 |
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}
|
checkpoint-1500/model.safetensors
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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checkpoint-1500/modules.json
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@@ -0,0 +1,20 @@
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[
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|
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|
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|
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|
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|
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"name": "1",
|
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|
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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",
|
18 |
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"type": "sentence_transformers.models.Normalize"
|
19 |
+
}
|
20 |
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]
|
checkpoint-1500/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 265862074
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checkpoint-1500/rng_state.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:837b26daa1e4cf5caec4e4288d9016ace7da1ce26afad046075d7e39e66a4b49
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size 14244
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checkpoint-1500/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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|
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size 1064
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checkpoint-1500/sentence_bert_config.json
ADDED
@@ -0,0 +1,4 @@
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|
|
|
|
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|
1 |
+
{
|
2 |
+
"max_seq_length": 512,
|
3 |
+
"do_lower_case": false
|
4 |
+
}
|
checkpoint-1500/special_tokens_map.json
ADDED
@@ -0,0 +1,37 @@
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
checkpoint-1500/tokenizer.json
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The diff for this file is too large to render.
See raw diff
|
|
checkpoint-1500/tokenizer_config.json
ADDED
@@ -0,0 +1,64 @@
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|
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|
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|
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|
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"truncation_strategy": "longest_first",
|
63 |
+
"unk_token": "[UNK]"
|
64 |
+
}
|
checkpoint-1500/trainer_state.json
ADDED
@@ -0,0 +1,28 @@
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|
|
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|
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|
|
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|
|
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|
|
|
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|
|
|
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|
1 |
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{
|
2 |
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"best_metric": null,
|
3 |
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"best_model_checkpoint": null,
|
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"epoch": 0.75,
|
5 |
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"eval_steps": 500,
|
6 |
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"global_step": 1500,
|
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"is_hyper_param_search": false,
|
8 |
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"is_local_process_zero": true,
|
9 |
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"is_world_process_zero": true,
|
10 |
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"log_history": [
|
11 |
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{
|
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"epoch": 0.5,
|
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"grad_norm": 5.349377632141113,
|
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"learning_rate": 8.336666666666668e-06,
|
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"loss": 0.5106,
|
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"step": 1000
|
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}
|
18 |
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],
|
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"logging_steps": 1000,
|
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+
"max_steps": 6000,
|
21 |
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"num_input_tokens_seen": 0,
|
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"num_train_epochs": 3,
|
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"save_steps": 500,
|
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"total_flos": 0.0,
|
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"train_batch_size": 16,
|
26 |
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"trial_name": null,
|
27 |
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"trial_params": null
|
28 |
+
}
|
checkpoint-1500/training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:1d19824e88981319b57ccdc1140f81eba3139d776ac7250264bf5cfd314d9196
|
3 |
+
size 5176
|
checkpoint-1500/vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-2000/1_Pooling/config.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"word_embedding_dimension": 384,
|
3 |
+
"pooling_mode_cls_token": true,
|
4 |
+
"pooling_mode_mean_tokens": false,
|
5 |
+
"pooling_mode_max_tokens": false,
|
6 |
+
"pooling_mode_mean_sqrt_len_tokens": false,
|
7 |
+
"pooling_mode_weightedmean_tokens": false,
|
8 |
+
"pooling_mode_lasttoken": false,
|
9 |
+
"include_prompt": true
|
10 |
+
}
|
checkpoint-2000/README.md
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
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|
|
|
|
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|
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|
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|
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|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: sentence-transformers
|
3 |
+
pipeline_tag: sentence-similarity
|
4 |
+
tags:
|
5 |
+
- sentence-transformers
|
6 |
+
- feature-extraction
|
7 |
+
- sentence-similarity
|
8 |
+
|
9 |
+
---
|
10 |
+
|
11 |
+
# {MODEL_NAME}
|
12 |
+
|
13 |
+
This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search.
|
14 |
+
|
15 |
+
<!--- Describe your model here -->
|
16 |
+
|
17 |
+
## Usage (Sentence-Transformers)
|
18 |
+
|
19 |
+
Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
|
20 |
+
|
21 |
+
```
|
22 |
+
pip install -U sentence-transformers
|
23 |
+
```
|
24 |
+
|
25 |
+
Then you can use the model like this:
|
26 |
+
|
27 |
+
```python
|
28 |
+
from sentence_transformers import SentenceTransformer
|
29 |
+
sentences = ["This is an example sentence", "Each sentence is converted"]
|
30 |
+
|
31 |
+
model = SentenceTransformer('{MODEL_NAME}')
|
32 |
+
embeddings = model.encode(sentences)
|
33 |
+
print(embeddings)
|
34 |
+
```
|
35 |
+
|
36 |
+
|
37 |
+
|
38 |
+
## Evaluation Results
|
39 |
+
|
40 |
+
<!--- Describe how your model was evaluated -->
|
41 |
+
|
42 |
+
For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
|
43 |
+
|
44 |
+
|
45 |
+
|
46 |
+
## Full Model Architecture
|
47 |
+
```
|
48 |
+
SentenceTransformer(
|
49 |
+
(0): Transformer({'max_seq_length': 512, 'do_lower_case': False}) with Transformer model: BertModel
|
50 |
+
(1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': True, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True})
|
51 |
+
(2): Normalize()
|
52 |
+
)
|
53 |
+
```
|
54 |
+
|
55 |
+
## Citing & Authors
|
56 |
+
|
57 |
+
<!--- Describe where people can find more information -->
|
checkpoint-2000/config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
1 |
+
{
|
2 |
+
"_name_or_path": "mytmp/finetuned_model/checkpoint-2000",
|
3 |
+
"architectures": [
|
4 |
+
"BertModel"
|
5 |
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],
|
6 |
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"attention_probs_dropout_prob": 0.1,
|
7 |
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"classifier_dropout": null,
|
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"hidden_act": "gelu",
|
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|
10 |
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"hidden_size": 384,
|
11 |
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"id2label": {
|
12 |
+
"0": "LABEL_0"
|
13 |
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},
|
14 |
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|
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|
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|
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},
|
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|
20 |
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"max_position_embeddings": 512,
|
21 |
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"model_type": "bert",
|
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|
23 |
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"num_hidden_layers": 12,
|
24 |
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"pad_token_id": 0,
|
25 |
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"position_embedding_type": "absolute",
|
26 |
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"torch_dtype": "float32",
|
27 |
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"transformers_version": "4.40.2",
|
28 |
+
"type_vocab_size": 2,
|
29 |
+
"use_cache": true,
|
30 |
+
"vocab_size": 30522
|
31 |
+
}
|
checkpoint-2000/config_sentence_transformers.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
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|
1 |
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{
|
2 |
+
"__version__": {
|
3 |
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"sentence_transformers": "2.7.0",
|
4 |
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"transformers": "4.40.2",
|
5 |
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"pytorch": "2.3.1+cu121"
|
6 |
+
},
|
7 |
+
"prompts": {},
|
8 |
+
"default_prompt_name": null
|
9 |
+
}
|
checkpoint-2000/model.safetensors
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 133462128
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checkpoint-2000/modules.json
ADDED
@@ -0,0 +1,20 @@
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[
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"path": "",
|
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|
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},
|
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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"
|
19 |
+
}
|
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]
|
checkpoint-2000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 265862074
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checkpoint-2000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:c724a00737e41af555fb773abe58281e4b877c60a1b481f592743f3f01faee4e
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size 14244
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checkpoint-2000/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:cd31decbdb37b3514a28a95d244e15f287632aead99bf576caff5c4533644d30
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size 1064
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checkpoint-2000/sentence_bert_config.json
ADDED
@@ -0,0 +1,4 @@
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|
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|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"max_seq_length": 512,
|
3 |
+
"do_lower_case": false
|
4 |
+
}
|
checkpoint-2000/special_tokens_map.json
ADDED
@@ -0,0 +1,37 @@
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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},
|
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|
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|
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|
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|
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|
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|
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}
|
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}
|
checkpoint-2000/tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-2000/tokenizer_config.json
ADDED
@@ -0,0 +1,64 @@
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|
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|
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|
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}
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"stride": 0,
|
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"strip_accents": null,
|
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"tokenize_chinese_chars": true,
|
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"tokenizer_class": "BertTokenizer",
|
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|
62 |
+
"truncation_strategy": "longest_first",
|
63 |
+
"unk_token": "[UNK]"
|
64 |
+
}
|
checkpoint-2000/trainer_state.json
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|
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{
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"learning_rate": 8.336666666666668e-06,
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|
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checkpoint-2000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d19824e88981319b57ccdc1140f81eba3139d776ac7250264bf5cfd314d9196
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size 5176
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checkpoint-2000/vocab.txt
ADDED
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|
|