HueyNemud
commited on
Commit
•
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Parent(s):
17bae03
updated model
Browse files- README.md +67 -0
- all_results.json +14 -0
- config.json +2 -2
- eval_results.json +9 -0
- pytorch_model.bin +2 -2
- sentencepiece.bpe.model +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 +207 -0
- training_args.bin +3 -0
README.md
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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: berties-pretrained
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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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# berties-pretrained
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This model is a fine-tuned version of [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3922
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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: 8
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- eval_batch_size: 8
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- seed: 42
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 5.7047 | 0.21 | 500 | 5.0371 |
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| 4.4116 | 0.43 | 1000 | 4.5143 |
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| 4.0711 | 0.64 | 1500 | 4.3272 |
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| 3.8657 | 0.86 | 2000 | 4.1704 |
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| 3.6971 | 1.07 | 2500 | 3.9951 |
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| 3.5093 | 1.29 | 3000 | 3.7682 |
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| 3.3598 | 1.5 | 3500 | 3.6554 |
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| 3.2389 | 1.72 | 4000 | 3.6167 |
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| 3.1984 | 1.93 | 4500 | 3.4445 |
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| 3.1063 | 2.15 | 5000 | 3.4206 |
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| 3.0063 | 2.36 | 5500 | 3.4164 |
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| 3.0069 | 2.57 | 6000 | 3.4115 |
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| 2.9954 | 2.79 | 6500 | 3.3463 |
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### Framework versions
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- Transformers 4.15.0
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- Pytorch 1.10.0+cu111
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- Datasets 1.17.0
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- Tokenizers 0.10.3
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all_results.json
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{
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"epoch": 3.0,
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"eval_loss": 3.392239809036255,
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"eval_runtime": 8.4705,
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"eval_samples": 981,
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"eval_samples_per_second": 115.814,
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"eval_steps_per_second": 14.521,
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"perplexity": 29.732472807173135,
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"train_loss": 3.5777804869601746,
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"train_runtime": 2142.1553,
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"train_samples": 18647,
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"train_samples_per_second": 26.114,
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"train_steps_per_second": 3.264
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}
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config.json
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{
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"_name_or_path": "/
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"architectures": [
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"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 5,
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{
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"_name_or_path": "Jean-Baptiste/camembert-ner",
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"architectures": [
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"CamembertForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 5,
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eval_results.json
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{
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"eval_steps_per_second": 14.521,
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"perplexity": 29.732472807173135
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}
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pytorch_model.bin
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oid sha256:
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size 442707627
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:988bc5a00281c6d210a5d34bd143d0363741a432fefe741bf71e61b1869d4314
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size 810912
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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": "<mask>", "additional_special_tokens": ["<s>NOTUSED", "</s>NOTUSED"]}
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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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{"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": true, "__type": "AddedToken"}, "additional_special_tokens": ["<s>NOTUSED", "</s>NOTUSED"], "model_max_length": 512, "name_or_path": "Jean-Baptiste/camembert-ner", "special_tokens_map_file": "/root/.cache/huggingface/transformers/fe0e213c44079a9ee091098f81fff2941484006e9ba3001a9bf1ee9f87537599.cb3ec3a6c1200d181228d8825ae9767572abca54efa1bbb37fd83d721b2ef323", "sp_model_kwargs": {}, "tokenizer_class": "CamembertTokenizer"}
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train_results.json
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trainer_state.json
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:9afce8d3d3462ca4f935b775e19a9239db8230d9e97923bdf6e43d2df813e9fb
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size 2927
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