Training in progress, step 30

README.md

@@ -1,15 +1,15 @@
 ---
 base_model: Qwen/Qwen3-0.6B
 library_name: transformers
-model_name: sft
+model_name: reward
 tags:
 - generated_from_trainer
 - trl
-- sft
+- reward-trainer
 licence: license
 ---
 
-# Model Card for sft
+# Model Card for reward
 
 This model is a fine-tuned version of [Qwen/Qwen3-0.6B](https://huggingface.co/Qwen/Qwen3-0.6B).
 It has been trained using [TRL](https://github.com/huggingface/trl).
@@ -20,17 +20,17 @@ It has been trained using [TRL](https://github.com/huggingface/trl).
 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="SaminSkyfall/sft", device="cuda")
+generator = pipeline("text-generation", model="SaminSkyfall/reward", 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/samin-skyfall-ai/huggingface/runs/5obf7lq0) 
+[<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/samin-skyfall-ai/huggingface/runs/jjqlknpu) 
 
 
-This model was trained with SFT.
+This model was trained with Reward.
 
 ### Framework versions
 

adapter_config.json

@@ -24,12 +24,12 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "o_proj",
-    "up_proj",
     "gate_proj",
+    "up_proj",
+    "o_proj",
+    "q_proj",
     "down_proj",
     "k_proj",
-    "q_proj",
     "v_proj"
   ],
   "task_type": "CAUSAL_LM",

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config.json

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 {
   "architectures": [
-    "Qwen3ForCausalLM"
+    "Phi3ForCausalLM"
   ],
   "attention_bias": false,
   "attention_dropout": 0.0,
-  "bos_token_id": 151643,
-  "eos_token_id": 151645,
-  "head_dim": 128,
+  "auto_map": {
+    "AutoConfig": "microsoft/Phi-3-mini-4k-instruct--configuration_phi3.Phi3Config",
+    "AutoModelForCausalLM": "microsoft/Phi-3-mini-4k-instruct--modeling_phi3.Phi3ForCausalLM"
+  },
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   "hidden_act": "silu",
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+  "hidden_size": 3072,
   "initializer_range": 0.02,
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-  "max_position_embeddings": 40960,
-  "max_window_layers": 28,
-  "model_type": "qwen3",
-  "num_attention_heads": 16,
-  "num_hidden_layers": 28,
-  "num_key_value_heads": 8,
-  "pad_token_id": 151643,
-  "rms_norm_eps": 1e-06,
+  "intermediate_size": 8192,
+  "max_position_embeddings": 4096,
+  "model_type": "phi3",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "original_max_position_embeddings": 4096,
+  "pad_token_id": 32000,
+  "partial_rotary_factor": 1.0,
+  "resid_pdrop": 0.0,
+  "rms_norm_eps": 1e-05,
   "rope_scaling": null,
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-  "sliding_window": null,
-  "tie_word_embeddings": true,
+  "rope_theta": 10000.0,
+  "sliding_window": 2047,
+  "tie_word_embeddings": false,
   "torch_dtype": "float32",
   "transformers_version": "4.51.3",
   "use_cache": true,
-  "use_sliding_window": false,
-  "vocab_size": 151936
+  "vocab_size": 32064
 }

generation_config.json

@@ -1,13 +1,11 @@
 {
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-  "do_sample": true,
+  "_from_model_config": true,
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+    32000,
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-  "pad_token_id": 151643,
-  "temperature": 0.6,
-  "top_k": 20,
-  "top_p": 0.95,
+  "pad_token_id": 32000,
   "transformers_version": "4.51.3"
 }

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