Model save

.gitattributes

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README.md

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+---
+license: other
+base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: zephyr-7b-gemma-ipo
+  results: []
+---
+
+<!-- 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. -->
+
+# zephyr-7b-gemma-ipo
+
+This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-sft-v0.1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 60.8626
+- Rewards/chosen: -0.5007
+- Rewards/rejected: -0.6906
+- Rewards/accuracies: 0.8021
+- Rewards/margins: 0.1899
+- Logps/rejected: -15.3697
+- Logps/chosen: -11.4648
+- Logits/rejected: 99.7591
+- Logits/chosen: 99.5497
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-07
+- train_batch_size: 2
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 54.5261       | 1.8957 | 100  | 60.8626         | -0.5007        | -0.6906          | 0.8021             | 0.1899          | -15.3697       | -11.4648     | 99.7591         | 99.5497       |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.1.2+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 1.971563981042654,
+    "total_flos": 0.0,
+    "train_loss": 77.37614455589882,
+    "train_runtime": 2312.9834,
+    "train_samples": 6750,
+    "train_samples_per_second": 5.837,
+    "train_steps_per_second": 0.045
+}

config.json

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+{
+  "_name_or_path": "HuggingFaceH4/zephyr-7b-gemma-sft-v0.1",
+  "architectures": [
+    "GemmaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "head_dim": 256,
+  "hidden_act": "gelu",
+  "hidden_activation": null,
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 24576,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 16,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.1",
+  "use_cache": false,
+  "vocab_size": 256000
+}

generation_config.json

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+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.1"
+}

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