Upload folder using huggingface_hub
Browse files- .gitattributes +3 -0
- best_model/config.json +35 -0
- best_model/eval_results.txt +4 -0
- best_model/model.safetensors +3 -0
- best_model/model_args.json +1 -0
- best_model/optimizer.pt +3 -0
- best_model/scheduler.pt +3 -0
- best_model/special_tokens_map.json +15 -0
- best_model/tokenizer.json +3 -0
- best_model/tokenizer_config.json +54 -0
- best_model/training_args.bin +3 -0
- checkpoint-2000-epoch-5/config.json +35 -0
- checkpoint-2000-epoch-5/eval_results.txt +4 -0
- checkpoint-2000-epoch-5/model.safetensors +3 -0
- checkpoint-2000-epoch-5/model_args.json +1 -0
- checkpoint-2000-epoch-5/optimizer.pt +3 -0
- checkpoint-2000-epoch-5/scheduler.pt +3 -0
- checkpoint-2000-epoch-5/special_tokens_map.json +15 -0
- checkpoint-2000-epoch-5/tokenizer.json +3 -0
- checkpoint-2000-epoch-5/tokenizer_config.json +54 -0
- checkpoint-2000-epoch-5/training_args.bin +3 -0
- config.json +35 -0
- eval_results.txt +4 -0
- model.safetensors +3 -0
- model_args.json +1 -0
- special_tokens_map.json +15 -0
- tokenizer.json +3 -0
- tokenizer_config.json +54 -0
- training_args.bin +3 -0
- training_progress_scores.csv +19 -0
.gitattributes
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best_model/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-2000-epoch-5/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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best_model/config.json
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best_model/eval_results.txt
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eval_loss = 0.03639074810780585
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best_model/model.safetensors
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best_model/model_args.json
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checkpoint-2000-epoch-5/config.json
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checkpoint-2000-epoch-5/eval_results.txt
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eval_loss = 0.03639074810780585
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pearson_corr = 0.7533485255565926
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rmse = 0.1907636
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checkpoint-2000-epoch-5/model.safetensors
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checkpoint-2000-epoch-5/special_tokens_map.json
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checkpoint-2000-epoch-5/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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size 17083021
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checkpoint-2000-epoch-5/tokenizer_config.json
ADDED
@@ -0,0 +1,54 @@
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|
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checkpoint-2000-epoch-5/training_args.bin
ADDED
@@ -0,0 +1,3 @@
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size 3896
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config.json
ADDED
@@ -0,0 +1,35 @@
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{
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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eval_results.txt
ADDED
@@ -0,0 +1,4 @@
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|
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|
1 |
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eval_loss = 0.03639074810780585
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pearson_corr = 0.7533485255565926
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3 |
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rmse = 0.1907636
|
4 |
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spearman_corr = 0.7258858337358253
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model.safetensors
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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model_args.json
ADDED
@@ -0,0 +1 @@
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|
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|
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_betas": [0.9, 0.999], "adam_epsilon": 1e-08, "best_model_dir": "outputs/semantic_textual_similarity/xlm-roberta-base/best_model", "cache_dir": "cache_dir/semantic_textual_similarity/xlm-roberta-base", "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": 10, "encoding": null, "eval_batch_size": 100, "evaluate_during_training": true, "evaluate_during_training_silent": true, "evaluate_during_training_steps": 150, "evaluate_during_training_verbose": true, "evaluate_each_epoch": true, "fp16": true, "gradient_accumulation_steps": 1, "learning_rate": 1e-05, "local_rank": -1, "logging_steps": 150, "loss_type": null, "loss_args": {}, "manual_seed": 777, "max_grad_norm": 1.0, "max_seq_length": 256, "model_name": "FacebookAI/xlm-roberta-base", "model_type": "xlmroberta", "multiprocessing_chunksize": -1, "n_gpu": 1, "no_cache": false, "no_save": false, "not_saved_args": [], "num_train_epochs": 5, "optimizer": "AdamW", "output_dir": "outputs/semantic_textual_similarity/xlm-roberta-base", "overwrite_output_dir": true, "polynomial_decay_schedule_lr_end": 1e-07, "polynomial_decay_schedule_power": 1.0, "process_count": 78, "quantized_model": false, "reprocess_input_data": true, "save_best_model": true, "save_eval_checkpoints": true, "save_model_every_epoch": true, "save_optimizer_and_scheduler": true, "save_recent_only": true, "save_steps": 150, "scheduler": "linear_schedule_with_warmup", "silent": false, "skip_special_tokens": true, "tensorboard_dir": null, "thread_count": null, "tokenizer_name": "FacebookAI/xlm-roberta-base", "tokenizer_type": null, "train_batch_size": 8, "train_custom_parameters_only": false, "trust_remote_code": false, "use_cached_eval_features": false, "use_early_stopping": false, "use_hf_datasets": false, "use_multiprocessing": false, "use_multiprocessing_for_evaluation": false, "wandb_kwargs": {"name": "FacebookAI/xlm-roberta-base"}, "wandb_project": "Sinhala Semantic Textual Similarity", "warmup_ratio": 0.06, "warmup_steps": 120, "weight_decay": 0.0, "model_class": "TextClassificationModel", "labels_list": [0], "labels_map": {}, "lazy_delimiter": "\t", "lazy_labels_column": 1, "lazy_loading": false, "lazy_loading_start_line": 1, "lazy_text_a_column": null, "lazy_text_b_column": null, "lazy_text_column": 0, "onnx": false, "regression": true, "sliding_window": false, "special_tokens_list": [], "stride": 0.8, "tie_value": 1}
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special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
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{
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tokenizer.json
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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tokenizer_config.json
ADDED
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training_args.bin
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training_progress_scores.csv
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