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pierreguillou
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llama-2-7b-hf-text2image-prompts-Liege-test

Text Generation
Transformers
PyTorch
TensorBoard
llama
Trained with AutoTrain
Inference Endpoints
text-generation-inference
Model card Files Metrics Community
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  1. README.md +9 -0
  2. adapter_config.json +21 -0
  3. adapter_model.bin +3 -0
  4. checkpoint-65/README.md +34 -0
  5. checkpoint-65/adapter_config.json +21 -0
  6. checkpoint-65/adapter_model.bin +3 -0
  7. checkpoint-65/optimizer.pt +3 -0
  8. checkpoint-65/pytorch_model.bin +3 -0
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  10. checkpoint-65/scheduler.pt +3 -0
  11. checkpoint-65/special_tokens_map.json +6 -0
  12. checkpoint-65/tokenizer.json +0 -0
  13. checkpoint-65/tokenizer.model +3 -0
  14. checkpoint-65/tokenizer_config.json +40 -0
  15. checkpoint-65/trainer_state.json +489 -0
  16. checkpoint-65/training_args.bin +3 -0
  17. config.json +26 -0
  18. generation_config.json +10 -0
  19. pytorch_model-00001-of-00002.bin +3 -0
  20. pytorch_model-00002-of-00002.bin +3 -0
  21. pytorch_model.bin.index.json +298 -0
  22. runs/Sep22_17-25-30_9c422ebb7bfe/events.out.tfevents.1695403531.9c422ebb7bfe.12983.0 +3 -0
  23. special_tokens_map.json +5 -0
  24. tokenizer.json +0 -0
  25. tokenizer.model +3 -0
  26. tokenizer_config.json +40 -0
  27. training_args.bin +3 -0
  28. training_params.json +1 -0
README.md ADDED
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+ ---
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+ tags:
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+ - autotrain
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+ - text-generation
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+ widget:
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+ - text: "I love AutoTrain because "
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+ ---
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+
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+ # Model Trained Using AutoTrain
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+ ---
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+ library_name: peft
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+ ---
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+ ## Training procedure
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+
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: bitsandbytes
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+ - load_in_8bit: False
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+ - load_in_4bit: True
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+ - llm_int8_threshold: 6.0
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+ - llm_int8_skip_modules: None
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+ - llm_int8_enable_fp32_cpu_offload: False
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+ - llm_int8_has_fp16_weight: False
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+ - bnb_4bit_quant_type: nf4
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+
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+ The following `bitsandbytes` quantization config was used during training:
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+ - quant_method: bitsandbytes
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+ - load_in_8bit: False
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+ - load_in_4bit: True
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+ - llm_int8_threshold: 6.0
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+ - bnb_4bit_quant_type: nf4
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+ - bnb_4bit_use_double_quant: False
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+ - bnb_4bit_compute_dtype: float16
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+ ### Framework versions
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+
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+ - PEFT 0.6.0.dev0
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+
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+ - PEFT 0.6.0.dev0
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+ {"model": "meta-llama/Llama-2-7b-hf", "data_path": "data/", "project_name": "llama-2-7b-hf-text2image-prompts-Liege", "train_split": "train_updated", "valid_split": "valid_updated", "text_column": "Texte", "lr": 0.0002, "epochs": 15, "batch_size": 1, "warmup_ratio": 0.1, "gradient_accumulation": 4, "optimizer": "adamw_torch", "scheduler": "linear", "weight_decay": 0.01, "max_grad_norm": 1.0, "seed": 42, "add_eos_token": false, "block_size": 1024, "use_peft": true, "lora_r": 16, "lora_alpha": 32, "lora_dropout": 0.05, "logging_steps": -1, "evaluation_strategy": "epoch", "save_total_limit": 1, "save_strategy": "epoch", "auto_find_batch_size": false, "fp16": true, "push_to_hub": true, "use_int8": false, "model_max_length": 1024, "repo_id": "pierreguillou/llama-2-7b-hf-text2image-prompts-Liege", "use_int4": true, "trainer": "default", "target_modules": null, "merge_adapter": true, "username": null}