Upload XLMRobertaForSequenceClassification
Browse files- config.json +59 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "ckpts/xlm-v-base-tweet-sentiment-en-trimmed-en-10000",
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"architectures": [
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"XLMRobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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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": "negative",
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"1": "neutral",
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"2": "positive"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"negative": 0,
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"neutral": 1,
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"positive": 2
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.26.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 10002,
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"vocabtrimmer": {
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"mining_config": {
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"dataset": "vocabtrimmer/mc4_validation",
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"dataset_column": "text",
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"dataset_name": "en",
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"dataset_split": "validation",
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"language": "en",
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"min_frequency": 2,
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"target_vocab_size": 10000
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},
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"stats": {
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"compression_rate_embedding": 1.1093254542611206,
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"compression_rate_full": 12.039370308954043,
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"parameter_size_embedding/raw": 692451072,
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"parameter_size_embedding/trimmed": 7681536,
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"parameter_size_full/raw": 778495491,
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"parameter_size_full/trimmed": 93725955,
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"vocab_size/raw": 901629,
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"vocab_size/trimmed": 10002
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}
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}
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:f419592bd0e67f3d6da0ab62116ef92a3fb96d5260914ee03f0566bfe3d67c9b
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size 374974389
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