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End of training

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README.md ADDED
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+ ---
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+ library_name: peft
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+ license: bigcode-openrail-m
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+ base_model: bigcode/starcoderbase-1b
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: starcoder-1b-hf-stack-v1-lora
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # starcoder-1b-hf-stack-v1-lora
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+
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+ This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4037
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0005
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 5
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+ - training_steps: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.0738 | 0.1 | 10 | 1.4130 |
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+ | 1.0391 | 0.2 | 20 | 1.4104 |
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+ | 0.9788 | 0.3 | 30 | 1.4124 |
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+ | 1.033 | 0.4 | 40 | 1.4151 |
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+ | 0.9991 | 0.5 | 50 | 1.4070 |
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+ | 1.0163 | 0.6 | 60 | 1.4138 |
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+ | 0.9945 | 0.7 | 70 | 1.4015 |
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+ | 0.9967 | 0.8 | 80 | 1.4051 |
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+ | 1.0755 | 0.9 | 90 | 1.4043 |
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+ | 0.9449 | 1.0 | 100 | 1.4037 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.14.0
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+ - Transformers 4.49.0
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.3.2
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+ - Tokenizers 0.21.0
adapter_config.json ADDED
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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": "bigcode/starcoderbase-1b",
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+ "bias": "none",
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+ "eva_config": null,
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+ "exclude_modules": null,
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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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+ "layer_replication": null,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 32,
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+ "lora_bias": false,
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+ "lora_dropout": 0.0,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "r": 8,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "c_attn",
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+ "c_proj",
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+ "c_fc",
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+ "q_attn"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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