Push model using huggingface_hub.

README.md

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+---
+license: apache-2.0
+tags:
+- trl
+- ppo
+- transformers
+- reinforcement-learning
+---
+
+# TRL Model
+
+This is a [TRL language model](https://github.com/huggingface/trl) that has been fine-tuned with reinforcement learning to
+ guide the model outputs according to a value, function, or human feedback. The model can be used for text generation.
+
+## Usage
+
+To use this model for inference, first install the TRL library:
+
+```bash
+python -m pip install trl
+```
+
+You can then generate text as follows:
+
+```python
+from transformers import pipeline
+
+generator = pipeline("text-generation", model="pkbiswas//tmp/tmppe80ooeh/pkbiswas/Phi-3-Detoxified-PPO-LoRa")
+outputs = generator("Hello, my llama is cute")
+```
+
+If you want to use the model for training or to obtain the outputs from the value head, load the model as follows:
+
+```python
+from transformers import AutoTokenizer
+from trl import AutoModelForCausalLMWithValueHead
+
+tokenizer = AutoTokenizer.from_pretrained("pkbiswas//tmp/tmppe80ooeh/pkbiswas/Phi-3-Detoxified-PPO-LoRa")
+model = AutoModelForCausalLMWithValueHead.from_pretrained("pkbiswas//tmp/tmppe80ooeh/pkbiswas/Phi-3-Detoxified-PPO-LoRa")
+
+inputs = tokenizer("Hello, my llama is cute", return_tensors="pt")
+outputs = model(**inputs, labels=inputs["input_ids"])
+```

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/Phi-3-mini-128k-instruct",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "down_proj",
+    "gate_up_proj",
+    "qkv_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 50366280

added_tokens.json

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+{
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+  "<|endoftext|>": 32000,
+  "<|end|>": 32007,
+  "<|placeholder1|>": 32002,
+  "<|placeholder2|>": 32003,
+  "<|placeholder3|>": 32004,
+  "<|placeholder4|>": 32005,
+  "<|placeholder5|>": 32008,
+  "<|placeholder6|>": 32009,
+  "<|system|>": 32006,
+  "<|user|>": 32010
+}

config.json

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+{
+  "exp_name": "ipykernel_launcher",
+  "seed": 0,
+  "log_with": null,
+  "task_name": null,
+  "model_name": "microsoft/Phi-3-mini-128k-instruct",
+  "query_dataset": "imdb",
+  "reward_model": "sentiment-analysis:lvwerra/distilbert-imdb",
+  "remove_unused_columns": true,
+  "tracker_kwargs": {},
+  "accelerator_kwargs": {},
+  "project_kwargs": {},
+  "tracker_project_name": "trl",
+  "push_to_hub_if_best_kwargs": {},
+  "steps": 20000,
+  "learning_rate": 2.94e-05,
+  "adap_kl_ctrl": true,
+  "init_kl_coef": 0.2,
+  "kl_penalty": "kl",
+  "target": 6,
+  "horizon": 10000,
+  "gamma": 1,
+  "lam": 0.95,
+  "cliprange": 0.2,
+  "cliprange_value": 0.2,
+  "vf_coef": 0.1,
+  "batch_size": 16,
+  "forward_batch_size": null,
+  "mini_batch_size": 4,
+  "gradient_accumulation_steps": 1,
+  "world_size": 1,
+  "ppo_epochs": 100,
+  "max_grad_norm": null,
+  "optimize_cuda_cache": null,
+  "optimize_device_cache": false,
+  "early_stopping": false,
+  "target_kl": 1,
+  "compare_steps": 1,
+  "ratio_threshold": 10.0,
+  "use_score_scaling": false,
+  "use_score_norm": false,
+  "score_clip": null,
+  "whiten_rewards": false,
+  "is_encoder_decoder": false,
+  "is_peft_model": true,
+  "backward_batch_size": 4,
+  "global_backward_batch_size": 4,
+  "global_batch_size": 16
+}

pytorch_model.bin

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+size 13820

special_tokens_map.json

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+{
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
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+    "lstrip": false,
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+    "single_word": false
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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+size 499723

tokenizer_config.json

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+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
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+      "lstrip": false,
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+      "lstrip": false,
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+      "special": true
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+      "single_word": false,
+      "special": true
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+  },
+  "bos_token": "<s>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') %}{{'<|user|>' + '\n' + message['content'] + '<|end|>' + '\n' + '<|assistant|>' + '\n'}}{% elif (message['role'] == 'assistant') %}{{message['content'] + '<|end|>' + '\n'}}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "legacy": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "padding_side": "left",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}