MymyTL/Codegen-Trained-Arduino

README.md

@@ -0,0 +1,72 @@
+---
+base_model: Salesforce/codegen-350M-multi
+library_name: peft
+license: bsd-3-clause
+tags:
+- generated_from_trainer
+model-index:
+- name: arduino-fine_tuned
+  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. -->
+
+# arduino-fine_tuned
+
+This model is a fine-tuned version of [Salesforce/codegen-350M-multi](https://huggingface.co/Salesforce/codegen-350M-multi) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2232
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.5517        | 0.9964 | 140  | 0.3323          |
+| 0.3111        | 2.0    | 281  | 0.2730          |
+| 0.2641        | 2.9964 | 421  | 0.2525          |
+| 0.2342        | 4.0    | 562  | 0.2399          |
+| 0.2181        | 4.9964 | 702  | 0.2317          |
+| 0.1998        | 6.0    | 843  | 0.2298          |
+| 0.1897        | 6.9964 | 983  | 0.2242          |
+| 0.1766        | 8.0    | 1124 | 0.2231          |
+| 0.1694        | 8.9964 | 1264 | 0.2222          |
+| 0.1606        | 9.9644 | 1400 | 0.2232          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

adapter_config.json

@@ -0,0 +1,28 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Salesforce/codegen-350M-multi",
+  "bias": "none",
+  "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_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "qkv_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:76fdca980fcea6b7971b991fd53cedc5b3c6ac32e3df3617d2d0d05dcaccdcac
+size 2626624

runs/Aug06_19-50-14_ba2284a25b44/events.out.tfevents.1722973820.ba2284a25b44.220.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:596820b39c4c9528797dc7519aaac9007050c851ca7e6f9b0dbb424690dda347
+size 10385

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8651cc3d489fa99f3dbc2aaaf5b037294075fc17085872e31013b2cf1b191bfd
+size 5112