full_finetune_orpo_pythia2_hh_helpful

README.md

@@ -1,7 +1,7 @@
 ---
-base_model: EleutherAI/pythia-2.8b
-library_name: peft
+library_name: transformers
 license: apache-2.0
+base_model: EleutherAI/pythia-2.8b
 tags:
 - trl
 - orpo
@@ -14,7 +14,6 @@ model-index:
 <!-- 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. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/sert121/huggingface/runs/unaavwcp)
 # orpo_pythia2_hh_helpful
 
 This model is a fine-tuned version of [EleutherAI/pythia-2.8b](https://huggingface.co/EleutherAI/pythia-2.8b) on the None dataset.
@@ -37,15 +36,15 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 8e-06
-- train_batch_size: 3
-- eval_batch_size: 8
+- train_batch_size: 12
+- eval_batch_size: 32
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 12
+- total_train_batch_size: 48
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 150
-- num_epochs: 2.0
+- num_epochs: 1.0
 
 ### Training results
 
@@ -53,8 +52,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- PEFT 0.10.0
-- Transformers 4.42.0
-- Pytorch 2.4.0+cu121
-- Datasets 2.15.0
-- Tokenizers 0.19.1
+- Transformers 4.45.0
+- Pytorch 2.5.0+cu124
+- Datasets 2.19.2
+- Tokenizers 0.20.0

config.json

@@ -0,0 +1,32 @@
+{
+  "_name_or_path": "EleutherAI/pythia-2.8b",
+  "architectures": [
+    "GPTNeoXForCausalLM"
+  ],
+  "attention_bias": true,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classifier_dropout": 0.1,
+  "eos_token_id": 0,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.0,
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 10240,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "gpt_neox",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "partial_rotary_factor": 0.25,
+  "rope_scaling": null,
+  "rope_theta": 10000,
+  "rotary_emb_base": 10000,
+  "rotary_pct": 0.25,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.45.0",
+  "use_cache": true,
+  "use_parallel_residual": true,
+  "vocab_size": 50304
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.45.0"
+}

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