Upload model
Browse files- config.json +27 -0
- pytorch_model.bin +3 -0
- sentencepiece.bpe.model +3 -0
- tokenizer.json +0 -0
- trainer_state.json +40 -0
- training_args.bin +3 -0
config.json
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{
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"_name_or_path": "xlm-roberta-base",
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"architectures": [
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"RobertaForCL"
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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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"eos_token_id": 2,
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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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"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": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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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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"transformers_version": "4.2.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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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 sha256:4839f0553d0d54bca51d27605cae589ae0f99d16ab2030a3103bcde65951e1bd
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size 1109898021
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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:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
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size 5069051
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tokenizer.json
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The diff for this file is too large to render.
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 0.9999040030719017,
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"global_step": 1953,
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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": 0.26,
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"learning_rate": 7.43983614951357e-06,
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"loss": 0.1187,
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"step": 500
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},
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{
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"epoch": 0.51,
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"learning_rate": 4.8796722990271386e-06,
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"loss": 0.0011,
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"step": 1000
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},
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{
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"epoch": 0.77,
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"learning_rate": 2.319508448540707e-06,
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"loss": 0.0006,
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"step": 1500
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},
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{
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"epoch": 1.0,
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"step": 1953,
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"train_runtime": 2937.1499,
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"train_samples_per_second": 0.665
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}
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],
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"max_steps": 1953,
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"num_train_epochs": 1,
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"total_flos": 262568325479694336,
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"trial_name": null,
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"trial_params": null
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1764f6fe3d82c2855fe1c542fa563a90af7186bf1c63298e8eeb8a07c1ffe27
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size 2043
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