hug-me-please
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Commit
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End of training
Browse files- README.md +57 -0
- config.json +37 -0
- merges.txt +0 -0
- model.safetensors +3 -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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library_name: transformers
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license: other
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base_model: facebook/opt-350m
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tags:
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- trl
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- reward-trainer
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- generated_from_trainer
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model-index:
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- name: reward_modeling_ems_rlhf_small
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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_modeling_ems_rlhf_small
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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: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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: 1.0
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### Training results
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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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": "facebook/opt-350m",
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"_remove_final_layer_norm": false,
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"OPTForSequenceClassification"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 2,
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"do_layer_norm_before": false,
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"dropout": 0.1,
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"enable_bias": true,
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"eos_token_id": 2,
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"ffn_dim": 4096,
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"hidden_size": 1024,
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"id2label": {
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"0": "LABEL_0"
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},
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"init_std": 0.02,
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"label2id": {
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"LABEL_0": 0
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},
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"layer_norm_elementwise_affine": true,
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"layerdrop": 0.0,
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"max_position_embeddings": 2048,
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"model_type": "opt",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 1,
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"prefix": "</s>",
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"torch_dtype": "float32",
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"transformers_version": "4.44.2",
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"use_cache": true,
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"vocab_size": 50272,
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"word_embed_proj_dim": 512
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:aea4c59e2d23d25f116da2a2e5b8536170cbcfef1551cd99e964bde51f55302b
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size 1324833016
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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 sha256:62b90949d5fa0273158aff90c9d322c5b38f421a73560ef0e4748c45e1647272
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size 5368
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vocab.json
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