Felix
commited on
Commit
•
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Parent(s):
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Upload final model
Browse files- README.md +73 -0
- all_results.json +15 -0
- config.json +27 -0
- eval_results.json +10 -0
- generation_config.json +5 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +15 -0
- train_results.json +8 -0
- trainer_state.json +1072 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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+
base_model: KBLab/bert-base-swedish-cased
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tags:
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- generated_from_trainer
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datasets:
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- ChangeIsKey/kubhist2
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metrics:
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- accuracy
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model-index:
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- name: test-mlm
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results:
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- task:
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name: Masked Language Modeling
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type: fill-mask
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dataset:
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name: ChangeIsKey/kubhist2
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type: ChangeIsKey/kubhist2
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config: all
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split: train[:5%]
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args: all
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.49963541184895327
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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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# test-mlm
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This model is a fine-tuned version of [KBLab/bert-base-swedish-cased](https://huggingface.co/KBLab/bert-base-swedish-cased) on the ChangeIsKey/kubhist2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8883
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- Accuracy: 0.4996
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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: 5e-05
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- train_batch_size: 128
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 512
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3.0
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### Training results
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### Framework versions
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- Transformers 4.33.1
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- Pytorch 1.12.0
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- Datasets 2.14.5
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- Tokenizers 0.13.3
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all_results.json
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{
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"epoch": 2.39,
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"eval_accuracy": 0.49963541184895327,
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"eval_loss": 2.888273239135742,
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"eval_runtime": 4192.3617,
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"eval_samples": 611273,
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"eval_samples_per_second": 145.806,
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"eval_steps_per_second": 4.557,
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"perplexity": 17.962266268631573,
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"train_loss": 0.0,
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"train_runtime": 3.9321,
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"train_samples": 9301750,
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"train_samples_per_second": 7096699.346,
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"train_steps_per_second": 13860.374
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}
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config.json
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{
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"_name_or_path": "KBLab/bert-base-swedish-cased",
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"architectures": [
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"BertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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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-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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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": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.33.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 50325
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}
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eval_results.json
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{
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"epoch": 2.39,
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"eval_accuracy": 0.49963541184895327,
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"eval_loss": 2.888273239135742,
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| 5 |
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"eval_runtime": 4192.3617,
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| 6 |
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"eval_samples": 611273,
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"eval_samples_per_second": 145.806,
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"eval_steps_per_second": 4.557,
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"perplexity": 17.962266268631573
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}
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generation_config.json
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{
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"_from_model_config": true,
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"pad_token_id": 0,
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"transformers_version": "4.33.1"
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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 sha256:0fa76221690065c236b6addcd86e75e48390a744e41bea31c753213881fc07a1
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size 499038381
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": false,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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train_results.json
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{
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"epoch": 2.39,
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"train_loss": 0.0,
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| 4 |
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"train_runtime": 3.9321,
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| 5 |
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"train_samples": 9301750,
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"train_samples_per_second": 7096699.346,
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"train_steps_per_second": 13860.374
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}
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trainer_state.json
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