Model save

README.md

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+---
+library_name: peft
+license: bigcode-openrail-m
+base_model: bigcode/starcoderbase-1b
+tags:
+- generated_from_trainer
+model-index:
+- name: peft-starcoder-lora-a100
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# peft-starcoder-lora-a100
+
+This model is a fine-tuned version of [bigcode/starcoderbase-1b](https://huggingface.co/bigcode/starcoderbase-1b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1557
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0005
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 64
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 30
+- training_steps: 2000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9702        | 0.05  | 100  | 0.9343          |
+| 0.8928        | 0.1   | 200  | 0.9666          |
+| 0.5992        | 0.15  | 300  | 0.9979          |
+| 0.8611        | 0.2   | 400  | 1.0115          |
+| 0.7631        | 0.25  | 500  | 1.0335          |
+| 0.7289        | 0.3   | 600  | 1.0624          |
+| 0.7408        | 0.35  | 700  | 1.0725          |
+| 0.5599        | 0.4   | 800  | 1.0900          |
+| 0.7736        | 0.45  | 900  | 1.0943          |
+| 0.7176        | 0.5   | 1000 | 1.1147          |
+| 0.4677        | 0.55  | 1100 | 1.1284          |
+| 0.6916        | 0.6   | 1200 | 1.1149          |
+| 0.5944        | 0.65  | 1300 | 1.1357          |
+| 0.66          | 0.7   | 1400 | 1.1425          |
+| 0.6722        | 0.75  | 1500 | 1.1408          |
+| 0.4843        | 0.8   | 1600 | 1.1575          |
+| 0.742         | 0.85  | 1700 | 1.1553          |
+| 0.6307        | 0.9   | 1800 | 1.1540          |
+| 0.5652        | 0.95  | 1900 | 1.1576          |
+| 0.6771        | 1.0   | 2000 | 1.1557          |
+
+
+### Framework versions
+
+- PEFT 0.15.2
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "bigcode/starcoderbase-1b",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_attn",
+    "c_fc",
+    "c_attn",
+    "c_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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