Commit
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Parent(s):
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Browse files- README.md +9 -0
- adapter_config.json +20 -0
- adapter_model.bin +3 -0
- checkpoint-542/README.md +34 -0
- checkpoint-542/adapter_config.json +20 -0
- checkpoint-542/adapter_model.bin +3 -0
- checkpoint-542/optimizer.pt +3 -0
- checkpoint-542/pytorch_model.bin +3 -0
- checkpoint-542/rng_state.pth +3 -0
- checkpoint-542/scheduler.pt +3 -0
- checkpoint-542/special_tokens_map.json +6 -0
- checkpoint-542/tokenizer.json +0 -0
- checkpoint-542/tokenizer_config.json +9 -0
- checkpoint-542/trainer_state.json +31 -0
- checkpoint-542/training_args.bin +3 -0
- runs/Sep17_20-19-32_b8469f4072cb/events.out.tfevents.1694981972.b8469f4072cb.9238.0 +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer_config.json +9 -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": "togethercomputer/RedPajama-INCITE-Base-3B-v1",
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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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"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 sha256:52c507e8986fc6cf7e48a763474127b3b5b960c281306434a1ed5a354af17b18
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size 20995057
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checkpoint-542/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-542/adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "togethercomputer/RedPajama-INCITE-Base-3B-v1",
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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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"query_key_value"
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],
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"task_type": "CAUSAL_LM"
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}
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checkpoint-542/adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:52c507e8986fc6cf7e48a763474127b3b5b960c281306434a1ed5a354af17b18
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size 20995057
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checkpoint-542/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 41996805
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checkpoint-542/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 443
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checkpoint-542/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-542/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-542/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-542/tokenizer.json
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checkpoint-542/tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": "<|endoftext|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_max_length": 2048,
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"tokenizer_class": "GPTNeoXTokenizer",
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"unk_token": "<|endoftext|>"
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}
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checkpoint-542/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": 1.996316758747698,
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"eval_steps": 500,
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"global_step": 542,
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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": 0.8,
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"learning_rate": 0.00013347022587268994,
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"loss": 1.6201,
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"step": 217
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},
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{
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"epoch": 1.6,
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"learning_rate": 4.4353182751540043e-05,
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"loss": 1.5454,
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"step": 434
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}
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],
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"logging_steps": 217,
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"max_steps": 542,
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"num_train_epochs": 2,
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"save_steps": 500,
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"total_flos": 7.06234701053952e+16,
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"trial_name": null,
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"trial_params": null
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}
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checkpoint-542/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e47636169944907a5a4c681a3fb5403268d38e37bd6cb0e3c57b82f3e4517ac
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size 4091
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runs/Sep17_20-19-32_b8469f4072cb/events.out.tfevents.1694981972.b8469f4072cb.9238.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:33de98de60c3d7a52777ca8940e148e5fbb5b74439277f321b5a8da837203c78
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size 5330
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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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tokenizer.json
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tokenizer_config.json
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{
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"add_prefix_space": false,
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"bos_token": "<|endoftext|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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"model_max_length": 2048,
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"tokenizer_class": "GPTNeoXTokenizer",
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"unk_token": "<|endoftext|>"
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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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oid sha256:7e47636169944907a5a4c681a3fb5403268d38e37bd6cb0e3c57b82f3e4517ac
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size 4091
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training_params.json
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{"model": "togethercomputer/RedPajama-INCITE-Base-3B-v1", "data_path": "anktiwerize/autotrain-data-llama-2-redditcasualtest", "project_name": "llama-2-7b-redditcasualtest22", "train_split": "train", "valid_split": null, "text_column": "text", "lr": 0.0002, "epochs": 2, "batch_size": 2, "warmup_ratio": 0.1, "gradient_accumulation": 4, "optimizer": "adamw_torch", "scheduler": "linear", "weight_decay": 0.01, "max_grad_norm": 1.0, "seed": 42, "add_eos_token": false, "block_size": 1024, "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": true, "push_to_hub": true, "use_int8": false, "model_max_length": 1024, "repo_id": "anktiwerize/llama-2-7b-hf-small-shards-redditcasual-3", "use_int4": true, "trainer": "default", "target_modules": null, "merge_adapter": false, "username": null}
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