add MT model
Browse files- all_results.json +22 -0
- config.json +29 -0
- eval_results.json +10 -0
- generated_predictions.txt +0 -0
- predict_results.json +9 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +73 -0
- training_args.bin +3 -0
all_results.json
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{
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"epoch": 10.0,
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"eval_bleu": 4.6799,
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"eval_gen_len": 90.7953,
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"eval_loss": 2.772725820541382,
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"eval_runtime": 1880.257,
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"eval_samples": 1500,
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"eval_samples_per_second": 0.798,
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"eval_steps_per_second": 0.08,
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"predict_bleu": 3.9024,
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"predict_gen_len": 92.5453,
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"predict_loss": 2.8333799839019775,
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"predict_runtime": 1900.5199,
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"predict_samples": 1500,
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"predict_samples_per_second": 0.789,
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"predict_steps_per_second": 0.079,
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"train_loss": 3.576076851639093,
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"train_runtime": 1207.6752,
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"train_samples": 4075,
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"train_samples_per_second": 33.743,
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"train_steps_per_second": 3.378
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}
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config.json
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{
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"_name_or_path": "google/mt5-base",
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"architectures": [
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"MT5ForConditionalGeneration"
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],
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"d_ff": 2048,
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"d_kv": 64,
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"d_model": 768,
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"decoder_start_token_id": 0,
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "mt5",
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"num_decoder_layers": 12,
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"num_heads": 12,
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"num_layers": 12,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": false,
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"tokenizer_class": "T5Tokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.12.0",
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"use_cache": true,
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"vocab_size": 250100
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}
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eval_results.json
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{
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"epoch": 10.0,
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"eval_bleu": 4.6799,
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"eval_gen_len": 90.7953,
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"eval_loss": 2.772725820541382,
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"eval_runtime": 1880.257,
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"eval_samples": 1500,
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"eval_samples_per_second": 0.798,
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"eval_steps_per_second": 0.08
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}
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generated_predictions.txt
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predict_results.json
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{
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"predict_bleu": 3.9024,
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"predict_gen_len": 92.5453,
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"predict_loss": 2.8333799839019775,
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"predict_runtime": 1900.5199,
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"predict_samples": 1500,
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"predict_samples_per_second": 0.789,
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"predict_steps_per_second": 0.079
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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 sha256:8dcb6ef98a6d91b1e469d590b0a63a1c491864a6d863e683e73d69c12269cc1c
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size 2329633625
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special_tokens_map.json
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>"}
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef78f86560d809067d12bac6c09f19a462cb3af3f54d2b8acbba26e1433125d6
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size 4309802
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tokenizer.json
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tokenizer_config.json
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 0, "additional_special_tokens": null, "special_tokens_map_file": "/home/patrick/.cache/torch/transformers/685ac0ca8568ec593a48b61b0a3c272beee9bc194a3c7241d15dcadb5f875e53.f76030f3ec1b96a8199b2593390c610e76ca8028ef3d24680000619ffb646276", "name_or_path": "google/mt5-base", "sp_model_kwargs": {}, "tokenizer_class": "T5Tokenizer"}
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train_results.json
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{
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"epoch": 10.0,
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"train_loss": 3.576076851639093,
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"train_runtime": 1207.6752,
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"train_samples": 4075,
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"train_samples_per_second": 33.743,
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"train_steps_per_second": 3.378
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}
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trainer_state.json
ADDED
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{
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"best_metric": null,
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"epoch": 10.0,
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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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}
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}
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training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d0180e1d3b8c4d474f11a74cb25c5297bf53cbe05e70ada21cf68ff32d89cfe
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size 2927
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