initial commit
Browse files- README.md +56 -3
- all_results.json +8 -0
- config.json +27 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +3025 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: roberta_large_ukrainian
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# roberta_large_ukrainian
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This model is a fine-tuned version of [roberta_large_uk](https://huggingface.co/roberta_large_uk) on the None dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: tpu
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- num_devices: 8
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 512
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- total_eval_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 25000
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- training_steps: 250000
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### Training results
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### Framework versions
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- Transformers 4.18.0.dev0
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- Pytorch 1.10.0+cu102
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- Datasets 1.18.4
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- Tokenizers 0.11.6
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all_results.json
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{
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"epoch": 18.29,
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"train_loss": 2.2607063239746092,
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"train_runtime": 1000597.3759,
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"train_samples": 6997114,
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"train_samples_per_second": 127.924,
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"train_steps_per_second": 0.25
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}
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config.json
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{
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"_name_or_path": "roberta_large_uk",
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"architectures": [
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"RobertaForMaskedLM"
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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": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.18.0.dev0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e08e34d949a0c9ac8098e19a27635d8cae54b35cab9f2e16a407965ef63b636
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size 1421780139
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
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tokenizer.json
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tokenizer_config.json
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{"errors": "replace", "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false, "__type": "AddedToken"}, "add_prefix_space": false, "trim_offsets": true, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "roberta_large_uk", "tokenizer_class": "RobertaTokenizer"}
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train_results.json
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{
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"epoch": 18.29,
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"train_loss": 2.2607063239746092,
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"train_runtime": 1000597.3759,
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"train_samples": 6997114,
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"train_samples_per_second": 127.924,
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"train_steps_per_second": 0.25
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}
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trainer_state.json
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