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/tmpz01g5nmq/baek26/all_6417_bart-base_rl")
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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/tmpz01g5nmq/baek26/all_6417_bart-base_rl")
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+ model = AutoModelForCausalLMWithValueHead.from_pretrained("baek26//tmp/tmpz01g5nmq/baek26/all_6417_bart-base_rl")
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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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+ "_name_or_path": "facebook/bart-base",
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+ "activation_dropout": 0.1,
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+ "activation_function": "gelu",
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+ "add_bias_logits": false,
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+ "add_final_layer_norm": false,
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+ "architectures": [
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+ "BartForConditionalGeneration"
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+ ],
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+ "attention_dropout": 0.1,
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+ "bos_token_id": 0,
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+ "classif_dropout": 0.1,
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+ "classifier_dropout": 0.0,
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+ "d_model": 768,
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+ "decoder_attention_heads": 12,
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+ "decoder_ffn_dim": 3072,
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+ "decoder_layerdrop": 0.0,
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+ "decoder_layers": 6,
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+ "decoder_start_token_id": 2,
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+ "dropout": 0.1,
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+ "early_stopping": true,
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+ "encoder_attention_heads": 12,
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+ "encoder_ffn_dim": 3072,
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+ "encoder_layerdrop": 0.0,
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+ "encoder_layers": 6,
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+ "eos_token_id": 2,
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+ "forced_bos_token_id": 0,
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+ "forced_eos_token_id": 2,
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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2"
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+ },
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+ "init_std": 0.02,
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+ "is_encoder_decoder": true,
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+ "label2id": {
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+ "LABEL_1": 1,
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+ "LABEL_2": 2
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+ },
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+ "max_position_embeddings": 1024,
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+ "model_type": "bart",
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+ "no_repeat_ngram_size": 3,
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+ "normalize_before": false,
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+ "normalize_embedding": true,
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+ "num_beams": 4,
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+ "num_hidden_layers": 6,
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+ "pad_token_id": 1,
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+ "scale_embedding": false,
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+ "task_specific_params": {
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+ "summarization": {
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+ "length_penalty": 1.0,
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+ },
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+ "min_length": 11,
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+ "num_beams": 6
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+ }
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+ },
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.2",
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
generation_config.json ADDED
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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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