End of training

README.md

@@ -2,11 +2,15 @@
 license: llama2
 library_name: peft
 tags:
+- alignment-handbook
+- trl
+- sft
+- generated_from_trainer
 - trl
 - sft
 - generated_from_trainer
 datasets:
-- generator
+- jan-hq/indonesian_sft_binarized
 base_model: Yellow-AI-NLP/komodo-7b-base
 model-index:
 - name: komodo-7b-chat
@@ -18,7 +22,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # komodo-7b-chat
 
-This model is a fine-tuned version of [Yellow-AI-NLP/komodo-7b-base](https://huggingface.co/Yellow-AI-NLP/komodo-7b-base) on the generator dataset.
+This model is a fine-tuned version of [Yellow-AI-NLP/komodo-7b-base](https://huggingface.co/Yellow-AI-NLP/komodo-7b-base) on the jan-hq/indonesian_sft_binarized dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.2932
 

config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "Yellow-AI-NLP/komodo-7b-base",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": 0,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 35008
+}