pierreguillou
commited on
Commit
•
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Parent(s):
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Upload folder using huggingface_hub
Browse files- README.md +9 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- checkpoint-65/README.md +34 -0
- checkpoint-65/adapter_config.json +21 -0
- checkpoint-65/adapter_model.bin +3 -0
- checkpoint-65/optimizer.pt +3 -0
- checkpoint-65/pytorch_model.bin +3 -0
- checkpoint-65/rng_state.pth +3 -0
- checkpoint-65/scheduler.pt +3 -0
- checkpoint-65/special_tokens_map.json +6 -0
- checkpoint-65/tokenizer.json +0 -0
- checkpoint-65/tokenizer.model +3 -0
- checkpoint-65/tokenizer_config.json +40 -0
- checkpoint-65/trainer_state.json +489 -0
- checkpoint-65/training_args.bin +3 -0
- config.json +26 -0
- generation_config.json +10 -0
- pytorch_model-00001-of-00002.bin +3 -0
- pytorch_model-00002-of-00002.bin +3 -0
- pytorch_model.bin.index.json +298 -0
- runs/Sep22_17-25-30_9c422ebb7bfe/events.out.tfevents.1695403531.9c422ebb7bfe.12983.0 +3 -0
- special_tokens_map.json +5 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +40 -0
- training_args.bin +3 -0
- training_params.json +1 -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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widget:
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- text: "I love AutoTrain because "
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---
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# Model Trained Using AutoTrain
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:33d4407d7ee6f93b6296fcab38ba08caa3ed5f15e4663b56e877249e9a47496c
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size 33600461
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checkpoint-65/README.md
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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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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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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float16
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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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- 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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- PEFT 0.6.0.dev0
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- PEFT 0.6.0.dev0
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checkpoint-65/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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checkpoint-65/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:33d4407d7ee6f93b6296fcab38ba08caa3ed5f15e4663b56e877249e9a47496c
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size 33600461
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checkpoint-65/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:d161eb18f27d3d431f2b4674d0feef60aa22b3448011d613c55527710f707bd3
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size 67216581
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checkpoint-65/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c152074a486243089e4fc0fdee0a373a30fb0e0a6e40eb5fd0d36fdafc97a155
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size 443
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checkpoint-65/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:be57dc0af2516cc92a9cd6be3dc09acbc7328030209f51bcea0448a890de8241
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size 14575
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checkpoint-65/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:7c60541a5daa8e24f22f0dc5a2521f083868f7ae6766973307b5670d5973f40d
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size 627
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checkpoint-65/special_tokens_map.json
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{
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"bos_token": "<s>",
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"eos_token": "</s>",
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"pad_token": "</s>",
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"unk_token": "<unk>"
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}
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checkpoint-65/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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checkpoint-65/tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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size 499723
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checkpoint-65/tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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"bos_token": "<s>",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 1024,
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"pad_token": null,
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"padding_side": "right",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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}
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checkpoint-65/trainer_state.json
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{
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"best_metric": 0.1841961294412613,
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"best_model_checkpoint": "llama-2-7b-hf-text2image-prompts-Liege/checkpoint-65",
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