israelNwokedi
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israelNwokedi/seoTrialWarningExtraction_Falcon-7B
Browse files- README.md +56 -0
- adapter_config.json +22 -0
- adapter_model.safetensors +3 -0
- runs/Nov28_11-28-07_7a56ca0aa136/events.out.tfevents.1701171996.7a56ca0aa136.168.0 +3 -0
- runs/Nov28_11-28-07_7a56ca0aa136/events.out.tfevents.1701173352.7a56ca0aa136.168.1 +3 -0
- special_tokens_map.json +17 -0
- tokenizer.json +0 -0
- tokenizer_config.json +123 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: vilsonrodrigues/falcon-7b-instruct-sharded
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tags:
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- generated_from_trainer
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model-index:
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- name: seoExtract_Falcon_7B_Model
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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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# seoExtract_Falcon_7B_Model
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This model is a fine-tuned version of [vilsonrodrigues/falcon-7b-instruct-sharded](https://huggingface.co/vilsonrodrigues/falcon-7b-instruct-sharded) 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: 0.0002
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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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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- lr_scheduler_warmup_ratio: 0.05
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- training_steps: 200
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "vilsonrodrigues/falcon-7b-instruct-sharded",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"query_key_value"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e74bb532a013f9d9d8f4353f1c9b2b2020450fa2f7a29ad32e1c83a9b212bd51
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size 75507072
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runs/Nov28_11-28-07_7a56ca0aa136/events.out.tfevents.1701171996.7a56ca0aa136.168.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:0e3185f52870ef792a360fbc334c657317a2d6b826ac41d53cd186a34ca2cb17
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size 6404
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runs/Nov28_11-28-07_7a56ca0aa136/events.out.tfevents.1701173352.7a56ca0aa136.168.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef2beffb4069c1ee4aa09b6301ffb73d012f780c9d72068e4b56ebca27d42cf5
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size 6404
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special_tokens_map.json
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{
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"additional_special_tokens": [
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">>TITLE<<",
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">>ABSTRACT<<",
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">>INTRODUCTION<<",
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">>SUMMARY<<",
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">>COMMENT<<",
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">>ANSWER<<",
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">>QUESTION<<",
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">>DOMAIN<<",
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">>PREFIX<<",
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">>SUFFIX<<",
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">>MIDDLE<<"
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],
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"eos_token": "<|endoftext|>",
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"pad_token": "<|endoftext|>"
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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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"2": {
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},
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"3": {
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"5": {
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"6": {
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"content": ">>QUESTION<<",
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},
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"7": {
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"content": ">>DOMAIN<<",
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},
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"8": {
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"content": ">>PREFIX<<",
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},
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"9": {
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"special": true
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},
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"10": {
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},
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"special": true
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}
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},
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"additional_special_tokens": [
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">>TITLE<<",
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">>ABSTRACT<<",
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">>INTRODUCTION<<",
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">>SUMMARY<<",
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">>COMMENT<<",
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">>ANSWER<<",
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">>QUESTION<<",
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">>DOMAIN<<",
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">>PREFIX<<",
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">>SUFFIX<<",
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">>MIDDLE<<"
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],
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_input_names": [
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"input_ids",
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"attention_mask"
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],
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"model_max_length": 2048,
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"pad_token": "<|endoftext|>",
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"tokenizer_class": "PreTrainedTokenizerFast"
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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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oid sha256:476eda432899fc2a0c86dd81a3b7b5da4832809a9fe057ffeb0eead2dbb76b3e
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size 4600
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