End of training

README.md

@@ -1,8 +1,11 @@
 ---
 base_model: barc0/Llama-3.1-ARC-Potpourri-Transduction-8B
+datasets:
+- tttx/problem88_data
 library_name: peft
 license: llama3.1
 tags:
+- alignment-handbook
 - trl
 - sft
 - generated_from_trainer
@@ -16,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # problem88_model
 
-This model is a fine-tuned version of [barc0/Llama-3.1-ARC-Potpourri-Transduction-8B](https://huggingface.co/barc0/Llama-3.1-ARC-Potpourri-Transduction-8B) on an unknown dataset.
+This model is a fine-tuned version of [barc0/Llama-3.1-ARC-Potpourri-Transduction-8B](https://huggingface.co/barc0/Llama-3.1-ARC-Potpourri-Transduction-8B) on the tttx/problem88_data dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1301
 

all_results.json

@@ -1,5 +1,10 @@
 {
     "epoch": 2.0,
+    "eval_loss": 0.1300777941942215,
+    "eval_runtime": 0.3702,
+    "eval_samples": 1,
+    "eval_samples_per_second": 2.701,
+    "eval_steps_per_second": 2.701,
     "total_flos": 4515982934016.0,
     "train_loss": 0.024928187334571705,
     "train_runtime": 773.7864,

config.json

@@ -0,0 +1,41 @@
+{
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "barc0/Llama-3.1-ARC-Potpourri-Transduction-8B",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 131072,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": {
+    "factor": 8.0,
+    "high_freq_factor": 4.0,
+    "low_freq_factor": 1.0,
+    "original_max_position_embeddings": 8192,
+    "rope_type": "llama3"
+  },
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.2",
+  "use_cache": true,
+  "vocab_size": 128256
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.0,
+    "eval_loss": 0.1300777941942215,
+    "eval_runtime": 0.3702,
+    "eval_samples": 1,
+    "eval_samples_per_second": 2.701,
+    "eval_steps_per_second": 2.701
+}