Model save

README.md

@@ -0,0 +1,57 @@
+---
+library_name: transformers
+model_name: granite_star_1
+tags:
+- generated_from_trainer
+- trl
+- sft
+licence: license
+---
+
+# Model Card for granite_star_1
+
+This model is a fine-tuned version of [None](https://huggingface.co/None).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="flyingbugs/granite_star_1", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/jjh233/huggingface/runs/etuvz9ym) 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.16.0.dev0
+- Transformers: 4.49.0
+- Pytorch: 2.5.1+cu121
+- Datasets: 3.3.2
+- Tokenizers: 0.21.0
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

all_results.json

@@ -0,0 +1,8 @@
+{
+    "total_flos": 3560949186560.0,
+    "train_loss": 0.84272125032213,
+    "train_runtime": 467.2816,
+    "train_samples": 1000,
+    "train_samples_per_second": 0.308,
+    "train_steps_per_second": 0.019
+}

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "pad_token_id": 0,
+  "transformers_version": "4.49.0"
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "total_flos": 3560949186560.0,
+    "train_loss": 0.84272125032213,
+    "train_runtime": 467.2816,
+    "train_samples": 1000,
+    "train_samples_per_second": 0.308,
+    "train_steps_per_second": 0.019
+}

trainer_state.json

@@ -0,0 +1,105 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 9,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.3333333333333333,
+      "grad_norm": 17.483246106883794,
+      "learning_rate": 5e-05,
+      "loss": 1.1171,
+      "step": 1
+    },
+    {
+      "epoch": 0.6666666666666666,
+      "grad_norm": 16.76230573230985,
+      "learning_rate": 4.375e-05,
+      "loss": 1.105,
+      "step": 2
+    },
+    {
+      "epoch": 1.0,
+      "grad_norm": 20.19666361790089,
+      "learning_rate": 3.7500000000000003e-05,
+      "loss": 1.3735,
+      "step": 3
+    },
+    {
+      "epoch": 1.3333333333333333,
+      "grad_norm": 4.070878513965605,
+      "learning_rate": 3.125e-05,
+      "loss": 0.9698,
+      "step": 4
+    },
+    {
+      "epoch": 1.6666666666666665,
+      "grad_norm": 3.8268942352667814,
+      "learning_rate": 2.5e-05,
+      "loss": 0.7918,
+      "step": 5
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 2.6695479402984423,
+      "learning_rate": 1.8750000000000002e-05,
+      "loss": 0.6996,
+      "step": 6
+    },
+    {
+      "epoch": 2.3333333333333335,
+      "grad_norm": 1.737118961654641,
+      "learning_rate": 1.25e-05,
+      "loss": 0.5728,
+      "step": 7
+    },
+    {
+      "epoch": 2.6666666666666665,
+      "grad_norm": 1.1676394567045352,
+      "learning_rate": 6.25e-06,
+      "loss": 0.5033,
+      "step": 8
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 0.9097109004604421,
+      "learning_rate": 0.0,
+      "loss": 0.4516,
+      "step": 9
+    },
+    {
+      "epoch": 3.0,
+      "step": 9,
+      "total_flos": 3560949186560.0,
+      "train_loss": 0.84272125032213,
+      "train_runtime": 467.2816,
+      "train_samples_per_second": 0.308,
+      "train_steps_per_second": 0.019
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 9,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3560949186560.0,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}