Upload 14 files
Browse files- .gitattributes +1 -0
- README.md +51 -0
- all_results.json +14 -0
- config.json +25 -0
- eval_nbest_predictions.json +3 -0
- eval_predictions.json +0 -0
- eval_results.json +9 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- train_results.json +8 -0
- trainer_state.json +319 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitattributes
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@@ -32,3 +32,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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eval_nbest_predictions.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: results
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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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# results
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This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on an unknown 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: 3e-05
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- train_batch_size: 12
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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: 2.0
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### Training results
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### Framework versions
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- Transformers 4.27.0.dev0
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- Pytorch 1.13.1+cu116
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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all_results.json
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{
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"epoch": 1.83,
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"eval_exact_match": 67.13929573075724,
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"eval_f1": 79.12211169002747,
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"eval_runtime": 180.1273,
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"eval_samples": 19278,
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"eval_samples_per_second": 107.024,
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"eval_steps_per_second": 13.379,
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"train_loss": 0.4519888086604075,
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"train_runtime": 3497.3077,
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"train_samples": 148108,
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"train_samples_per_second": 84.698,
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"train_steps_per_second": 7.059
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}
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config.json
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{
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"_name_or_path": "microsoft/MiniLM-L12-H384-uncased",
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"architectures": [
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"BertForQuestionAnswering"
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],
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"hidden_act": "gelu",
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"hidden_size": 384,
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"initializer_range": 0.02,
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"intermediate_size": 1536,
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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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"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": "4.27.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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eval_nbest_predictions.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:9c6d00c9bf4ab53db0e1b7c66033a1282c692a14cc498f01177cbddb54204d7f
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size 59010378
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eval_predictions.json
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eval_results.json
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pytorch_model.bin
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size 132923885
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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train_results.json
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trainer_state.json
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