baek26 commited on
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Push model using huggingface_hub.

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - trl
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+ - ppo
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+ - transformers
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+ - reinforcement-learning
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+ ---
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+
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+ # TRL Model
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+
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+ This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
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+ guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
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+
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+ ## Usage
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+
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+ To use this model for inference, first install the TRL library:
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+
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+ ```bash
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+ python -m pip install trl
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+ ```
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+
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+ You can then generate text as follows:
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+
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+ ```python
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+ from transformers import pipeline
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+
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+ generator = pipeline("text-generation", model="baek26//tmp/tmpxpk4iypn/baek26/wiki_asp-educational_institution_6506_bart-base")
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+ outputs = generator("Hello, my llama is cute")
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+ ```
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+
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+ If you want to use the model for training or to obtain the outputs from the value head, load the model as follows:
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+
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+ ```python
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+ from transformers import AutoTokenizer
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+ from trl import AutoModelForCausalLMWithValueHead
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+
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+ tokenizer = AutoTokenizer.from_pretrained("baek26//tmp/tmpxpk4iypn/baek26/wiki_asp-educational_institution_6506_bart-base")
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+ model = AutoModelForCausalLMWithValueHead.from_pretrained("baek26//tmp/tmpxpk4iypn/baek26/wiki_asp-educational_institution_6506_bart-base")
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+
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+ inputs = tokenizer("Hello, my llama is cute", return_tensors="pt")
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+ outputs = model(**inputs, labels=inputs["input_ids"])
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+ ```
config.json ADDED
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+ {
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+ "exp_name": "rlqaf",
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+ "seed": 0,
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+ "log_with": null,
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+ "task_name": null,
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+ "model_name": "facebook/bart-base",
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+ "query_dataset": "imdb",
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+ "reward_model": "sentiment-analysis:lvwerra/distilbert-imdb",
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+ "remove_unused_columns": true,
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+ "tracker_kwargs": {},
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+ "accelerator_kwargs": {},
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+ "project_kwargs": {},
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+ "tracker_project_name": "trl",
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+ "push_to_hub_if_best_kwargs": {},
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+ "steps": 20000,
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+ "learning_rate": 1.41e-06,
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+ "adap_kl_ctrl": true,
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+ "init_kl_coef": 0.2,
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+ "kl_penalty": "kl",
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+ "target": 6,
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+ "horizon": 10000,
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+ "gamma": 0.9,
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+ "lam": 0.95,
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+ "cliprange": 0.2,
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+ "cliprange_value": 0.2,
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+ "vf_coef": 0.1,
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+ "batch_size": 1,
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+ "forward_batch_size": null,
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+ "mini_batch_size": 1,
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+ "gradient_accumulation_steps": 1,
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+ "world_size": 1,
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+ "ppo_epochs": 4,
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+ "max_grad_norm": null,
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+ "optimize_cuda_cache": null,
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+ "optimize_device_cache": false,
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+ "early_stopping": true,
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+ "target_kl": 1,
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+ "compare_steps": 1,
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+ "ratio_threshold": 10.0,
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+ "use_score_scaling": false,
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+ "use_score_norm": false,
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+ "score_clip": null,
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+ "whiten_rewards": false,
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+ "is_encoder_decoder": true,
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+ "is_peft_model": false,
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+ "backward_batch_size": 1,
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+ "global_backward_batch_size": 1,
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+ "global_batch_size": 1
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+ }
generation_config.json ADDED
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+ {
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+ "num_beams": 4,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.38.2"
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+ }
merges.txt ADDED
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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vocab.json ADDED
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