reward-train-facebook-opt350m-with-hh-rlhf
Browse files- README.md +52 -0
- adapter_config.json +28 -0
- adapter_model.safetensors +3 -0
- merges.txt +0 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +30 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: other
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: facebook/opt-350m
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model-index:
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- name: reward-train-facebook-opt350m-with-hh-rlhf
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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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# reward-train-facebook-opt350m-with-hh-rlhf
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) 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: 1.41e-05
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- train_batch_size: 64
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 1024
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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: 1
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.36.2
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- Pytorch 2.0.0
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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": "facebook/opt-350m",
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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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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": [
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"scores"
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],
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": "SEQ_CLS"
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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:c7878f0074ed82a603c5d3bcf3d6924dae1eff90152bfd8ede1e1ec348c4673c
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size 6307104
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merges.txt
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special_tokens_map.json
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{
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"bos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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"add_bos_token": true,
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"add_prefix_space": false,
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"added_tokens_decoder": {
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"1": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"bos_token": "</s>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "</s>",
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"errors": "replace",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<pad>",
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"tokenizer_class": "GPT2Tokenizer",
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"unk_token": "</s>"
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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:f8c1f7cf01d1c34fa15c675bf2435a3f4760838394e3343ca30ffa7bee6a2c8a
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size 4411
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vocab.json
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