Update model
Browse files- eval_results.txt +2 -2
- model_args.json +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
eval_results.txt
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@@ -1,2 +1,2 @@
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eval_loss = 2.
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perplexity = tensor(
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eval_loss = 2.83157302924993
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perplexity = tensor(16.9721)
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model_args.json
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@@ -1 +1 @@
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{"adafactor_beta1": null, "adafactor_clip_threshold": 1.0, "adafactor_decay_rate": -0.8, "adafactor_eps": [1e-30, 0.001], "adafactor_relative_step": true, "adafactor_scale_parameter": true, "adafactor_warmup_init": true, "adam_epsilon": 1e-08, "best_model_dir": "
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{"adafactor_beta1": null, "adafactor_clip_threshold": 1.0, "adafactor_decay_rate": -0.8, "adafactor_eps": [1e-30, 0.001], "adafactor_relative_step": true, "adafactor_scale_parameter": true, "adafactor_warmup_init": true, "adam_epsilon": 1e-08, "best_model_dir": "ey_lw_posts/best_model", "cache_dir": "cache_dir/", "config": {}, "cosine_schedule_num_cycles": 0.5, "custom_layer_parameters": [], "custom_parameter_groups": [], "dataloader_num_workers": 0, "do_lower_case": false, "dynamic_quantize": false, "early_stopping_consider_epochs": false, "early_stopping_delta": 0, "early_stopping_metric": "eval_loss", "early_stopping_metric_minimize": true, "early_stopping_patience": 3, "encoding": null, "eval_batch_size": 8, "evaluate_during_training": true, "evaluate_during_training_silent": true, "evaluate_during_training_steps": 3000, "evaluate_during_training_verbose": true, "evaluate_each_epoch": true, "fp16": true, "gradient_accumulation_steps": 2, "learning_rate": 0.0001, "local_rank": -1, "logging_steps": 50, "loss_type": null, "loss_args": {}, "manual_seed": null, "max_grad_norm": 1.0, "max_seq_length": 510, "model_name": "gpt2-medium", "model_type": "gpt2", "multiprocessing_chunksize": -1, "n_gpu": 1, "no_cache": false, "no_save": false, "not_saved_args": [], "num_train_epochs": 1, "optimizer": "AdamW", "output_dir": "ey_lw_posts/", "overwrite_output_dir": true, "polynomial_decay_schedule_lr_end": 1e-07, "polynomial_decay_schedule_power": 1.0, "process_count": 1, "quantized_model": false, "reprocess_input_data": true, "save_best_model": true, "save_eval_checkpoints": true, "save_model_every_epoch": false, "save_optimizer_and_scheduler": false, "save_steps": -1, "scheduler": "linear_schedule_with_warmup", "silent": false, "skip_special_tokens": true, "tensorboard_dir": null, "thread_count": null, "tokenizer_name": "gpt2-medium", "tokenizer_type": null, "train_batch_size": 2, "train_custom_parameters_only": false, "use_cached_eval_features": true, "use_early_stopping": false, "use_hf_datasets": false, "use_multiprocessing": true, "use_multiprocessing_for_evaluation": true, "wandb_kwargs": {}, "wandb_project": null, "warmup_ratio": 0.06, "warmup_steps": 49, "weight_decay": 0.0, "model_class": "LanguageModelingModel", "block_size": 510, "config_name": null, "dataset_class": null, "dataset_type": "simple", "discriminator_config": {}, "discriminator_loss_weight": 50.0, "generator_config": {}, "max_steps": -1, "min_frequency": 2, "mlm": false, "mlm_probability": 0.15, "sliding_window": true, "special_tokens": ["<s>", "<pad>", "</s>", "<unk>", "<mask>"], "stride": 0.8, "tie_generator_and_discriminator_embeddings": true, "vocab_size": null, "clean_text": true, "handle_chinese_chars": true, "special_tokens_list": [], "strip_accents": true}
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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:
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size 1444566873
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version https://git-lfs.github.com/spec/v1
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oid sha256:a79266099abb72e200e4a3619d86bab6113a2b7c7f39794cb7db526438436585
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size 1444566873
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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:
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size 3375
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version https://git-lfs.github.com/spec/v1
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oid sha256:588ad2a417a6e8247009899295fdcc78ba2d304672c91e6a502cb50d1cdc7ae9
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size 3375
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