Sentence Similarity
Transformers
Safetensors
French
camembert
fill-mask
passage-retrieval
Eval Results (legacy)
text-embeddings-inference
Instructions to use antoinelouis/splade-max-camembert-base-mmarcoFR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use antoinelouis/splade-max-camembert-base-mmarcoFR with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("antoinelouis/splade-max-camembert-base-mmarcoFR") model = AutoModelForMaskedLM.from_pretrained("antoinelouis/splade-max-camembert-base-mmarcoFR") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- added_tokens.json +3 -0
- config.json +29 -0
- config_sparse_retrievers.json +20 -0
- mmarco_smalldev_scores.csv +2 -0
- model.safetensors +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +20 -0
- tokenizer.json +0 -0
- tokenizer_config.json +84 -0
added_tokens.json
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{
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"<unk>NOTUSED": 32005
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}
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config.json
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{
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"_name_or_path": "almanach/camembert-base",
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"architectures": [
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"CamembertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 5,
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"classifier_dropout": null,
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"eos_token_id": 6,
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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-05,
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"max_position_embeddings": 514,
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"model_type": "camembert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_hidden_states": true,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.36.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 32005
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}
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config_sparse_retrievers.json
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{
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"model_name_or_path": "almanach/camembert-base",
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"similarity": "cos_sim",
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"padding": "longest",
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"truncation": true,
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"max_query_length": 32,
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"max_doc_length": 128,
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"add_special_tokens": true,
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"augment_query_to_maxlen": false,
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"augment_doc_to_maxlen": false,
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"query_prefix": null,
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"doc_prefix": null,
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"pooling": "max",
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"pruning_topk": null,
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"pruning_threshold": null,
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"__version__": {
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"pytorch": "2.1.2+cu121",
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"transformers": "4.36.2"
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}
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}
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mmarco_smalldev_scores.csv
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epoch,steps,cos_sim-Accuracy@1,cos_sim-Precision@5,cos_sim-Recall@5,cos_sim-Precision@10,cos_sim-Recall@10,cos_sim-Precision@20,cos_sim-Recall@20,cos_sim-Precision@50,cos_sim-Recall@50,cos_sim-Precision@100,cos_sim-Recall@100,cos_sim-Precision@200,cos_sim-Recall@200,cos_sim-Precision@500,cos_sim-Recall@500,cos_sim-Precision@1000,cos_sim-Recall@1000,cos_sim-MRR@10,cos_sim-MRR@100,cos_sim-NDCG@10,cos_sim-NDCG@100,cos_sim-MAP@10,cos_sim-MAP@100
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0,100000,0.15515759312320918,0.07610315186246419,0.36473256924546327,0.04858166189111748,0.4632521489971347,0.029255014326647562,0.5557784145176695,0.014020057306590257,0.6632999044890162,0.007825214899713466,0.7393505253104108,0.004217048710601718,0.7958452722063037,0.001824641833810889,0.8596227316141355,0.000954441260744986,0.8986270296084049,0.24682317960613007,0.25788603566583085,0.2958119380996196,0.35399215859320554,0.24154337411500734,0.25296812696912013
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:134e046752df70ab6b05021eab6e8469bc5a8de7b0a1ed11df3c3b7d509557ae
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size 442646188
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:988bc5a00281c6d210a5d34bd143d0363741a432fefe741bf71e61b1869d4314
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size 810912
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<s>NOTUSED",
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"</s>NOTUSED",
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"<unk>NOTUSED"
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],
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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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": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
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The diff for this file is too large to render.
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<s>NOTUSED",
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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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"1": {
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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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"special": true
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},
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"2": {
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"content": "</s>NOTUSED",
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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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"4": {
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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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"special": true
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},
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"5": {
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"content": "<s>",
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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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"6": {
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"content": "</s>",
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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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"32004": {
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"content": "<mask>",
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"lstrip": true,
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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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"32005": {
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"content": "<unk>NOTUSED",
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"lstrip": false,
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"normalized": false,
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| 63 |
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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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},
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"additional_special_tokens": [
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"<s>NOTUSED",
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"</s>NOTUSED",
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"<unk>NOTUSED"
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],
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"bos_token": "<s>",
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| 74 |
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"clean_up_tokenization_spaces": true,
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| 75 |
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"cls_token": "<s>",
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| 76 |
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"device": "cuda",
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| 77 |
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"eos_token": "</s>",
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| 78 |
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"mask_token": "<mask>",
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| 79 |
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"model_max_length": 512,
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| 80 |
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"tokenizer_class": "CamembertTokenizer",
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| 83 |
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"unk_token": "<unk>"
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}
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