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Browse files- README.md +43 -0
- checkpoint-902/config.json +39 -0
- checkpoint-902/generation_config.json +6 -0
- checkpoint-902/merges.txt +0 -0
- checkpoint-902/model.safetensors +3 -0
- checkpoint-902/optimizer.pt +3 -0
- checkpoint-902/rng_state.pth +3 -0
- checkpoint-902/scheduler.pt +3 -0
- checkpoint-902/special_tokens_map.json +6 -0
- checkpoint-902/tokenizer.json +0 -0
- checkpoint-902/tokenizer_config.json +21 -0
- checkpoint-902/trainer_state.json +273 -0
- checkpoint-902/training_args.bin +3 -0
- checkpoint-902/vocab.json +0 -0
- config.json +39 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer_config.json +21 -0
- training_args.bin +3 -0
- training_params.json +47 -0
- vocab.json +0 -0
README.md
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---
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tags:
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- autotrain
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- text-generation
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library_name: transformers
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widget:
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- messages:
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- role: user
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content: What is your favorite condiment?
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license: other
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---
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# Model Trained Using AutoTrain
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This model was trained using AutoTrain. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
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# Usage
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```python
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from transformers import AutoModelForCausalLM, AutoTokenizer
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model_path = "PATH_TO_THIS_REPO"
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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model = AutoModelForCausalLM.from_pretrained(
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model_path,
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device_map="auto",
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torch_dtype='auto'
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).eval()
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# Prompt content: "hi"
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messages = [
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{"role": "user", "content": "hi"}
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]
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input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
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output_ids = model.generate(input_ids.to('cuda'))
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response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
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# Model response: "Hello! How can I assist you today?"
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print(response)
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```
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checkpoint-902/config.json
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{
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"_name_or_path": "openai-community/gpt2",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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],
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"attn_pdrop": 0.1,
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"bos_token_id": 50256,
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"embd_pdrop": 0.1,
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"eos_token_id": 50256,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "gpt2",
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"n_ctx": 1024,
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"n_embd": 768,
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"n_head": 12,
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"n_inner": null,
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"n_layer": 12,
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"n_positions": 1024,
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"reorder_and_upcast_attn": false,
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"resid_pdrop": 0.1,
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"scale_attn_by_inverse_layer_idx": false,
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"scale_attn_weights": true,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"task_specific_params": {
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"text-generation": {
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"do_sample": true,
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"max_length": 50
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}
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},
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"torch_dtype": "float32",
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"transformers_version": "4.39.0",
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"use_cache": false,
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"vocab_size": 50257
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}
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checkpoint-902/generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.39.0"
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}
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checkpoint-902/merges.txt
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checkpoint-902/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b60345a8949f01fb2e3b8c41ac0d063a751e7504f30226aa6ad403a88ec7a03b
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size 497774208
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checkpoint-902/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:edbe4609ee3f3f62cdd4fc5e4fb976f9f376573545e3e3980658275f66c37f72
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size 995642298
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checkpoint-902/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:9aebcec986913d86388e18c8304b17aed63fbdfd944d2519fdc774d4834d37c7
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size 14244
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checkpoint-902/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0023eb693df4b4ca689ed7e3bcd96faf58eddae57518ea202b0ad3b7a2cd0384
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size 1064
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checkpoint-902/special_tokens_map.json
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"pad_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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}
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checkpoint-902/tokenizer.json
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checkpoint-902/tokenizer_config.json
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"bos_token": "<|endoftext|>",
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"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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