Model save

README.md

@@ -0,0 +1,93 @@
+---
+library_name: transformers
+license: bigcode-openrail-m
+base_model: bigcode/starcoder2-15b
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: starchat2-15b-v0.1
+  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. -->
+
+# starchat2-15b-v0.1
+
+This model is a fine-tuned version of [bigcode/starcoder2-15b](https://huggingface.co/bigcode/starcoder2-15b) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6601
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 32
+- total_train_batch_size: 128
+- total_eval_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.8402        | 0.1099 | 100  | 0.8307          |
+| 0.7611        | 0.2198 | 200  | 0.7793          |
+| 0.7361        | 0.3297 | 300  | 0.7525          |
+| 0.6854        | 0.4396 | 400  | 0.7337          |
+| 0.6926        | 0.5495 | 500  | 0.7197          |
+| 0.7125        | 0.6593 | 600  | 0.7097          |
+| 0.6662        | 0.7692 | 700  | 0.7015          |
+| 0.6517        | 0.8791 | 800  | 0.6937          |
+| 0.6234        | 0.9890 | 900  | 0.6869          |
+| 0.5925        | 1.0989 | 1000 | 0.6866          |
+| 0.585         | 1.2088 | 1100 | 0.6832          |
+| 0.5857        | 1.3187 | 1200 | 0.6798          |
+| 0.5736        | 1.4286 | 1300 | 0.6746          |
+| 0.5906        | 1.5385 | 1400 | 0.6723          |
+| 0.569         | 1.6484 | 1500 | 0.6686          |
+| 0.5756        | 1.7582 | 1600 | 0.6655          |
+| 0.545         | 1.8681 | 1700 | 0.6622          |
+| 0.5505        | 1.9780 | 1800 | 0.6606          |
+| 0.5149        | 2.0879 | 1900 | 0.6648          |
+| 0.5234        | 2.1978 | 2000 | 0.6638          |
+| 0.5239        | 2.3077 | 2100 | 0.6632          |
+| 0.5142        | 2.4176 | 2200 | 0.6623          |
+| 0.5086        | 2.5275 | 2300 | 0.6616          |
+| 0.4998        | 2.6374 | 2400 | 0.6604          |
+| 0.5029        | 2.7473 | 2500 | 0.6602          |
+| 0.5146        | 2.8571 | 2600 | 0.6599          |
+| 0.5293        | 2.9670 | 2700 | 0.6601          |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.5.1+rocm6.2
+- Datasets 3.5.0
+- Tokenizers 0.20.3

all_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "total_flos": 1.183665069490176e+16,
+    "train_loss": 0.5413940727492392,
+    "train_runtime": 63958.3461,
+    "train_samples": 344926,
+    "train_samples_per_second": 5.459,
+    "train_steps_per_second": 0.043
+}

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 49152,
+  "eos_token_id": 49153,
+  "pad_token_id": 49153,
+  "transformers_version": "4.45.2"
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "total_flos": 1.183665069490176e+16,
+    "train_loss": 0.5413940727492392,
+    "train_runtime": 63958.3461,
+    "train_samples": 344926,
+    "train_samples_per_second": 5.459,
+    "train_steps_per_second": 0.043
+}