Pravincoder
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Browse files- README.md +9 -0
- adapter_config.json +22 -0
- adapter_model.bin +3 -0
- checkpoint-2000/README.md +34 -0
- checkpoint-2000/adapter_config.json +22 -0
- checkpoint-2000/adapter_model.bin +3 -0
- checkpoint-2000/optimizer.pt +3 -0
- checkpoint-2000/rng_state.pth +3 -0
- checkpoint-2000/scheduler.pt +3 -0
- checkpoint-2000/special_tokens_map.json +6 -0
- checkpoint-2000/tokenizer.json +0 -0
- checkpoint-2000/tokenizer_config.json +212 -0
- checkpoint-2000/trainer_state.json +415 -0
- checkpoint-2000/training_args.bin +3 -0
- config.json +29 -0
- generation_config.json +6 -0
- pytorch_model.bin +3 -0
- runs/Oct01_13-06-50_c7315105c6f1/events.out.tfevents.1696165611.c7315105c6f1.2441.0 +3 -0
- special_tokens_map.json +5 -0
- tokenizer.json +0 -0
- tokenizer_config.json +212 -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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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "EleutherAI/pythia-1.4b",
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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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"query_key_value"
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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:cc14c473ec8bccda37ba5e5234f6b1846f2f7a82a0b90fe196addb795f5cf39c
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size 12600513
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checkpoint-2000/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: True
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- load_in_4bit: False
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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: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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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: True
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- load_in_4bit: False
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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: fp4
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- bnb_4bit_use_double_quant: False
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- bnb_4bit_compute_dtype: float32
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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-2000/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": "EleutherAI/pythia-1.4b",
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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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"query_key_value"
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],
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"task_type": "CAUSAL_LM"
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}
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checkpoint-2000/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:cc14c473ec8bccda37ba5e5234f6b1846f2f7a82a0b90fe196addb795f5cf39c
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size 12600513
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checkpoint-2000/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:1adae34196ec3965e7e84f66e4662daff93788c35046bf9b226b89476f46a75a
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size 25206149
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checkpoint-2000/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:52f736be3876a5ac9f6410e917bd20e1a67c9ccda046c91a3b5aec1573ae88ba
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size 14511
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checkpoint-2000/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:aafb6a19627506a3cb78949236c86ac9f038aa80fc2f986cbd7c4c03d83a76bc
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size 627
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checkpoint-2000/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-2000/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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checkpoint-2000/tokenizer_config.json
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|
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|
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training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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size 4091
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training_params.json
ADDED
@@ -0,0 +1 @@
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|
|
|
|
1 |
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{"model": "EleutherAI/pythia-1.4b", "data_path": "Pravincoder/Traffic_and_legal_laws", "project_name": "pythia-legal-llm-v4", "train_split": "train", "valid_split": null, "text_column": "text", "lr": 0.0001, "epochs": 200, "batch_size": 2, "warmup_ratio": 0.1, "gradient_accumulation": 1, "optimizer": "adamw_torch", "scheduler": "linear", "weight_decay": 0.0, "max_grad_norm": 1.0, "seed": 42, "add_eos_token": false, "block_size": -1, "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": true, "fp16": false, "push_to_hub": true, "use_int8": true, "model_max_length": 2048, "repo_id": "Pravincoder/pythia-legal-llm-v4", "use_int4": false, "trainer": "sft", "target_modules": null, "merge_adapter": true, "username": null, "use_flash_attention_2": false}
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