citrus-sha
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Commit
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Parent(s):
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Browse files- README.md +9 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- added_tokens.json +3 -0
- checkpoint-5/README.md +34 -0
- checkpoint-5/adapter_config.json +21 -0
- checkpoint-5/adapter_model.bin +3 -0
- checkpoint-5/added_tokens.json +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 +33 -0
- checkpoint-5/trainer_state.json +49 -0
- checkpoint-5/training_args.bin +3 -0
- runs/Aug23_06-09-57_cn6-vcl10/events.out.tfevents.1692770997.cn6-vcl10.3442460.0 +3 -0
- runs/Aug23_06-12-16_cn6-vcl10/events.out.tfevents.1692771136.cn6-vcl10.3442770.0 +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +33 -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": "NousResearch/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 sha256:2c9d4e72622c1199c65986f99d6ad24f52f0d0d24df70c2c175aabb98fee5d55
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size 33600461
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added_tokens.json
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{
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"<pad>": 32000
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}
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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 0.6.0.dev0
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- PEFT 0.6.0.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": "NousResearch/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-5/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2c9d4e72622c1199c65986f99d6ad24f52f0d0d24df70c2c175aabb98fee5d55
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size 33600461
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checkpoint-5/added_tokens.json
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{
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"<pad>": 32000
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}
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checkpoint-5/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:c367fd80592e4f935e67317d6f09c8830c2987784bfd9c0ef83ec6897d7a0dbf
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size 67216581
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checkpoint-5/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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size 14575
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checkpoint-5/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 627
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checkpoint-5/special_tokens_map.json
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{
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"bos_token": {
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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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},
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"eos_token": {
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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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},
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"pad_token": "<unk>",
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"unk_token": {
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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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}
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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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{
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"bos_token": {
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"__type": "AddedToken",
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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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},
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"clean_up_tokenization_spaces": false,
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"eos_token": {
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"__type": "AddedToken",
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"content": "</s>",
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"lstrip": false,
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"normalized": true,
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"single_word": false
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},
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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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"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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"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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},
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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": 4.25,
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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": 0.25,
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"learning_rate": 0.0001,
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"loss": 2.2049,
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"step": 1
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},
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{
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"epoch": 1.25,
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"learning_rate": 0.0002,
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"loss": 2.2049,
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"step": 2
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},
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{
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"epoch": 2.25,
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"learning_rate": 0.00018888888888888888,
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"loss": 2.1056,
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"step": 3
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},
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{
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"epoch": 3.25,
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"learning_rate": 0.00017777777777777779,
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"loss": 1.9492,
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"step": 4
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},
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{
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"epoch": 4.25,
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"learning_rate": 0.0001666666666666667,
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"loss": 1.8287,
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"step": 5
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}
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],
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"logging_steps": 1,
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"max_steps": 20,
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"num_train_epochs": 5,
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"save_steps": 500,
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"total_flos": 103763977175040.0,
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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 sha256:090e3d14bafaf311ece5b7bf51fa7e21d09f7762b3cb0c4de2b0d0471cdee150
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size 4027
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runs/Aug23_06-09-57_cn6-vcl10/events.out.tfevents.1692770997.cn6-vcl10.3442460.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:f9a3b5b17577fa0a072a4dc641545bd952457b4fbf7342826e05ebf5c832ca68
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size 5593
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runs/Aug23_06-12-16_cn6-vcl10/events.out.tfevents.1692771136.cn6-vcl10.3442770.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b981dc4bbae6986e2baefb3f97424c79cb4f7caaabb09fd6f6a178a2a4389ba7
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size 5593
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special_tokens_map.json
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{
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},
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"single_word": false
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},
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"pad_token": "<unk>",
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"unk_token": {
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"lstrip": false,
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"normalized": true,
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"single_word": false
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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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"bos_token": {
|
3 |
+
"__type": "AddedToken",
|
4 |
+
"content": "<s>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": true,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false
|
9 |
+
},
|
10 |
+
"clean_up_tokenization_spaces": false,
|
11 |
+
"eos_token": {
|
12 |
+
"__type": "AddedToken",
|
13 |
+
"content": "</s>",
|
14 |
+
"lstrip": false,
|
15 |
+
"normalized": true,
|
16 |
+
"rstrip": false,
|
17 |
+
"single_word": false
|
18 |
+
},
|
19 |
+
"legacy": false,
|
20 |
+
"model_max_length": 1024,
|
21 |
+
"pad_token": null,
|
22 |
+
"sp_model_kwargs": {},
|
23 |
+
"tokenizer_class": "LlamaTokenizer",
|
24 |
+
"unk_token": {
|
25 |
+
"__type": "AddedToken",
|
26 |
+
"content": "<unk>",
|
27 |
+
"lstrip": false,
|
28 |
+
"normalized": true,
|
29 |
+
"rstrip": false,
|
30 |
+
"single_word": false
|
31 |
+
},
|
32 |
+
"use_default_system_prompt": true
|
33 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:090e3d14bafaf311ece5b7bf51fa7e21d09f7762b3cb0c4de2b0d0471cdee150
|
3 |
+
size 4027
|
training_params.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"model": "NousResearch/Llama-2-7b-hf", "data_path": ".", "project_name": "content_prediction_5", "train_split": "train", "valid_split": null, "text_column": "text", "lr": 0.0002, "epochs": 5, "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": false, "fp16": false, "push_to_hub": true, "use_int8": false, "model_max_length": 1024, "repo_id": "citrus-sha/nous_llama2", "use_int4": true, "trainer": "sft", "target_modules": null, "merge_adapter": false}
|