tjasad/prompt_fine_tuned_boolq
Browse files- .gitattributes +1 -0
- README.md +61 -0
- config.json +42 -0
- model.safetensors +3 -0
- runs/May02_07-18-27_92e403b10c7c/events.out.tfevents.1714634334.92e403b10c7c.2673.0 +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +3 -0
- tokenizer_config.json +45 -0
- training_args.bin +3 -0
.gitattributes
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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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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: bigscience-bloom-rail-1.0
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base_model: bigscience/bloomz-560m
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: prompt_fine_tuned_boolq
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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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# prompt_fine_tuned_boolq
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This model is a fine-tuned version of [bigscience/bloomz-560m](https://huggingface.co/bigscience/bloomz-560m) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 77.8396
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- Accuracy: 0.2222
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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: 2e-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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 12 | 79.0937 | 0.2222 |
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| No log | 2.0 | 24 | 77.8396 | 0.2222 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "bigscience/bloomz-560m",
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"apply_residual_connection_post_layernorm": false,
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"architectures": [
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"BloomForSequenceClassification"
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],
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"attention_dropout": 0.0,
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"attention_softmax_in_fp32": true,
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"bias_dropout_fusion": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_dropout": 0.0,
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"hidden_size": 1024,
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"id2label": {
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"0": false,
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"1": true
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},
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"initializer_range": 0.02,
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"label2id": {
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"false": 0,
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"true": 1
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},
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"layer_norm_epsilon": 1e-05,
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"masked_softmax_fusion": true,
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"model_type": "bloom",
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"n_head": 16,
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"n_inner": null,
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"n_layer": 24,
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"offset_alibi": 100,
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"pad_token_id": 3,
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"pretraining_tp": 1,
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"problem_type": "single_label_classification",
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"seq_length": 2048,
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"skip_bias_add": true,
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"skip_bias_add_qkv": false,
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"slow_but_exact": false,
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"torch_dtype": "float32",
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"transformers_version": "4.40.1",
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"unk_token_id": 0,
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"use_cache": false,
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"vocab_size": 250880
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5dba595894a8f676ef348c15eb582c813c4a5a0806b1b326f5f224c9a427e664
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size 2236908888
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runs/May02_07-18-27_92e403b10c7c/events.out.tfevents.1714634334.92e403b10c7c.2673.0
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special_tokens_map.json
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{
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"content": "<s>",
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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size 14500499
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tokenizer_config.json
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"unk_token": "<unk>"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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