shyam-incedoinc
commited on
Commit
β’
0f1ec37
1
Parent(s):
79c9318
Upload folder using huggingface_hub
Browse files- README.md +9 -0
- adapter_config.json +23 -0
- adapter_model.bin +3 -0
- checkpoint-168/README.md +34 -0
- checkpoint-168/adapter_config.json +23 -0
- checkpoint-168/adapter_model.bin +3 -0
- checkpoint-168/optimizer.pt +3 -0
- checkpoint-168/rng_state.pth +3 -0
- checkpoint-168/scheduler.pt +3 -0
- checkpoint-168/special_tokens_map.json +12 -0
- checkpoint-168/tokenizer.json +0 -0
- checkpoint-168/tokenizer.model +3 -0
- checkpoint-168/tokenizer_config.json +81 -0
- checkpoint-168/trainer_state.json +1083 -0
- checkpoint-168/training_args.bin +3 -0
- runs/Sep30_04-59-44_dac8e12bb3c8/events.out.tfevents.1696049985.dac8e12bb3c8.5320.0 +3 -0
- special_tokens_map.json +12 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +81 -0
- training_args.bin +3 -0
- training_params.json +41 -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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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "codellama/CodeLlama-7b-Instruct-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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"rank_pattern": {},
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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 sha256:2d1185258ae99c4b9408da7b7f16005cabb99c6960e92017566ebb1d10bbae6e
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size 33600461
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checkpoint-168/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-168/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "codellama/CodeLlama-7b-Instruct-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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"rank_pattern": {},
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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-168/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d1185258ae99c4b9408da7b7f16005cabb99c6960e92017566ebb1d10bbae6e
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size 33600461
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checkpoint-168/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:42d35455db9d1c064be5ef3846e1a3105185f4710b26170c592139448306bd42
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size 67216581
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checkpoint-168/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:69e4aa178e9a96e204b49de89d05318c24a70e6dde8236f8abea89e420fa1e22
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size 14575
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checkpoint-168/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:59716b389a5c03b070913c1ab82c9ec436579eb68dd823903ed3cd557b121bd7
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size 627
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checkpoint-168/special_tokens_map.json
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{
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"additional_special_tokens": [
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"β<PRE>",
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"β<MID>",
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"β<SUF>",
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"β<EOT>"
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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-168/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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checkpoint-168/tokenizer.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
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size 500058
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checkpoint-168/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": true,
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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": true,
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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": true,
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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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"32007": {
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"content": "β<PRE>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
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"special": true
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},
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"32008": {
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"content": "β<SUF>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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+
"single_word": false,
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"special": true
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},
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"32009": {
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"content": "β<MID>",
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"lstrip": true,
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"normalized": false,
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"rstrip": true,
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"single_word": false,
|
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+
"special": true
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+
},
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+
"32010": {
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"content": "β<EOT>",
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+
"lstrip": true,
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+
"normalized": false,
|
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+
"rstrip": true,
|
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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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+
"β<PRE>",
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+
"β<MID>",
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+
"β<SUF>",
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+
"β<EOT>"
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],
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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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+
"eot_token": "β<EOT>",
|
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"fill_token": "<FILL_ME>",
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+
"legacy": null,
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+
"middle_token": "β<MID>",
|
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+
"model_max_length": 1024,
|
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"pad_token": null,
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+
"prefix_token": "β<PRE>",
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"sp_model_kwargs": {},
|
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"suffix_token": "β<SUF>",
|
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"tokenizer_class": "CodeLlamaTokenizer",
|
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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checkpoint-168/trainer_state.json
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"β<EOT>"
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"content": "β<EOT>",
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"β<EOT>"
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"eot_token": "β<EOT>",
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training_args.bin
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