MonishMeher
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Browse files- README.md +9 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- checkpoint-5/README.md +34 -0
- checkpoint-5/adapter_config.json +21 -0
- checkpoint-5/adapter_model.bin +3 -0
- checkpoint-5/optimizer.pt +3 -0
- checkpoint-5/rng_state.pth +3 -0
- checkpoint-5/scheduler.pt +3 -0
- checkpoint-5/special_tokens_map.json +24 -0
- checkpoint-5/tokenizer.json +0 -0
- checkpoint-5/tokenizer.model +3 -0
- checkpoint-5/tokenizer_config.json +32 -0
- checkpoint-5/trainer_state.json +25 -0
- checkpoint-5/training_args.bin +3 -0
- runs/Aug18_19-05-57_ea87c301c5f3/events.out.tfevents.1692385557.ea87c301c5f3.7086.0 +3 -0
- runs/Aug18_19-15-54_ea87c301c5f3/events.out.tfevents.1692386154.ea87c301c5f3.13625.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +32 -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": "TinyPixel/Llama-2-7B-bf16-sharded",
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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:a1cd92e50b770fdebd17ec0d4f7d0423a6d193b4dfaadc1562939211d9f87dbf
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size 33600461
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checkpoint-5/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 0.5.0.dev0
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- PEFT 0.5.0.dev0
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checkpoint-5/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "TinyPixel/Llama-2-7B-bf16-sharded",
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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-5/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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size 33600461
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checkpoint-5/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 67216581
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checkpoint-5/rng_state.pth
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checkpoint-5/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-5/special_tokens_map.json
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{
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}
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checkpoint-5/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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checkpoint-5/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-5/tokenizer_config.json
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"content": "</s>",
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"normalized": true,
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},
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"model_max_length": 2048,
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"pad_token": null,
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": {
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"__type": "AddedToken",
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"content": "<unk>",
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"normalized": true,
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"single_word": false
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},
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"use_default_system_prompt": true
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}
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checkpoint-5/trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 4.04,
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"eval_steps": 500,
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"global_step": 5,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 4.04,
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"learning_rate": 7.692307692307693e-05,
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"loss": 1.7363,
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"step": 5
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}
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],
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"logging_steps": 5,
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"max_steps": 125,
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"num_train_epochs": 5,
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"save_steps": 500,
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"total_flos": 415055405383680.0,
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"trial_name": null,
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"trial_params": null
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}
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checkpoint-5/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:87c5eee34ba06df7dc11d3855c18aa390d39e4689075f0dc8b0cd0cf47cf317a
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size 4027
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runs/Aug18_19-05-57_ea87c301c5f3/events.out.tfevents.1692385557.ea87c301c5f3.7086.0
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version https://git-lfs.github.com/spec/v1
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size 5124
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runs/Aug18_19-15-54_ea87c301c5f3/events.out.tfevents.1692386154.ea87c301c5f3.13625.0
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version https://git-lfs.github.com/spec/v1
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size 4970
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special_tokens_map.json
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{
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}
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}
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tokenizer.json
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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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tokenizer_config.json
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},
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"single_word": false
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},
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"use_default_system_prompt": true
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 4027
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training_params.json
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