update

README.md

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+---
+base_model:
+- rirv938/gpt2_sequence_classification_base
+- rirv938/reward_gpt2_preference_24m_e2
+- ChaiML/reward_models_100_170000000_cp_332032
+library_name: transformers
+tags:
+- mergekit
+- merge
+
+---
+# gpt2_ties_merge_ab_with_classic_e2_d99
+
+This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+
+## Merge Details
+### Merge Method
+
+This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [rirv938/gpt2_sequence_classification_base](https://huggingface.co/rirv938/gpt2_sequence_classification_base) as a base.
+
+### Models Merged
+
+The following models were included in the merge:
+* [rirv938/reward_gpt2_preference_24m_e2](https://huggingface.co/rirv938/reward_gpt2_preference_24m_e2)
+* [ChaiML/reward_models_100_170000000_cp_332032](https://huggingface.co/ChaiML/reward_models_100_170000000_cp_332032)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+models:
+  - model: rirv938/gpt2_sequence_classification_base
+    # no parameters necessary for base model
+  - model: ChaiML/reward_models_100_170000000_cp_332032
+    parameters:
+      density: 0.9
+      weight: 0.5
+  - model: rirv938/reward_gpt2_preference_24m_e2
+    parameters:
+      density: 0.9
+      weight: 0.5
+merge_method: ties
+base_model: rirv938/gpt2_sequence_classification_base
+parameters:
+  normalize: true
+dtype: float16
+
+```

config.json

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+{
+  "_name_or_path": "rirv938/gpt2_sequence_classification_base",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2ForSequenceClassification"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "torch_dtype": "float16",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 50257
+}

mergekit_config.yml

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+models:
+  - model: rirv938/gpt2_sequence_classification_base
+    # no parameters necessary for base model
+  - model: ChaiML/reward_models_100_170000000_cp_332032
+    parameters:
+      density: 0.9
+      weight: 0.5
+  - model: rirv938/reward_gpt2_preference_24m_e2
+    parameters:
+      density: 0.9
+      weight: 0.5
+merge_method: ties
+base_model: rirv938/gpt2_sequence_classification_base
+parameters:
+  normalize: true
+dtype: float16

model-00001-of-00001.safetensors

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+oid sha256:bd0e26dffeca100b67b770fbc7b04a0971fe8885274779ffc4eb67d944329638
+size 248897656

model.safetensors.index.json

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 1024,
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}