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Model: jackf857/llama-3-8b-base-kto-ultrafeedback-8xh200
Source: Original Platform

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README.md

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+---
+library_name: transformers
+base_model: W-61/llama-3-8b-base-sft-ultrachat-8xh200
+tags:
+- alignment-handbook
+- kto
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/ultrafeedback_binarized
+model-index:
+- name: llama-3-8b-base-kto-ultrafeedback-8xh200
+  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. -->
+
+# llama-3-8b-base-kto-ultrafeedback-8xh200
+
+This model is a fine-tuned version of [W-61/llama-3-8b-base-sft-ultrachat-8xh200](https://huggingface.co/W-61/llama-3-8b-base-sft-ultrachat-8xh200) on the HuggingFaceH4/ultrafeedback_binarized dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3658
+- Rewards/chosen: 0.1622
+- Logps/chosen: -286.2337
+- Rewards/rejected: -2.5444
+- Logps/rejected: -292.3963
+- Rewards/margins: 2.7066
+- Kl: 0.0
+- Logits/chosen: -140467840.0
+- Logits/rejected: -139209600.0
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- total_eval_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Logps/chosen | Rewards/rejected | Logps/rejected | Rewards/margins | Kl  | Logits/chosen | Logits/rejected |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:------------:|:----------------:|:--------------:|:---------------:|:---:|:-------------:|:---------------:|
+| 1.5841        | 0.2094 | 200  | 0.3971          | -0.1699        | -289.5548    | -1.7146          | -284.0978      | 1.5447          | 0.0 | -151004736.0  | -149476768.0    |
+| 1.404         | 0.4188 | 400  | 0.3773          | -0.0342        | -288.1983    | -2.3874          | -290.8255      | 2.3531          | 0.0 | -143785152.0  | -142386976.0    |
+| 1.4253        | 0.6283 | 600  | 0.3684          | -0.3211        | -291.0670    | -3.1407          | -298.3589      | 2.8196          | 0.0 | -145117536.0  | -143700400.0    |
+| 1.4432        | 0.8377 | 800  | 0.3658          | 0.1622         | -286.2337    | -2.5444          | -292.3963      | 2.7066          | 0.0 | -140467840.0  | -139209600.0    |
+
+
+### Framework versions
+
+- Transformers 4.51.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.21.4

all_results.json

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+{
+    "epoch": 1.0,
+    "eval_kl": 0.0,
+    "eval_logits/chosen": -141123088.0,
+    "eval_logits/rejected": -139890512.0,
+    "eval_logps/chosen": -287.08896875,
+    "eval_logps/rejected": -293.79315625,
+    "eval_loss": 0.3648396134376526,
+    "eval_rewards/chosen": 0.0766905059814453,
+    "eval_rewards/margins": 2.760806716918945,
+    "eval_rewards/rejected": -2.6841162109375,
+    "eval_runtime": 92.6279,
+    "eval_samples": 4000,
+    "eval_samples_per_second": 43.184,
+    "eval_steps_per_second": 1.349,
+    "total_flos": 0.0,
+    "train_loss": 1.5426912418834826,
+    "train_runtime": 5367.6535,
+    "train_samples": 122270,
+    "train_samples_per_second": 22.779,
+    "train_steps_per_second": 0.178
+}

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 128000,
+  "eos_token_id": 128001,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 8192,
+  "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": null,
+  "rope_theta": 500000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.0",
+  "use_cache": true,
+  "vocab_size": 128256
+}

eval_results.json

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+    "eval_kl": 0.0,
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+    "eval_logps/rejected": -293.79315625,
+    "eval_loss": 0.3648396134376526,
+    "eval_rewards/chosen": 0.0766905059814453,
+    "eval_rewards/margins": 2.760806716918945,
+    "eval_rewards/rejected": -2.6841162109375,
+    "eval_runtime": 92.6279,
+    "eval_samples": 4000,
+    "eval_samples_per_second": 43.184,
+    "eval_steps_per_second": 1.349
+}

generation_config.json

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+  "do_sample": true,
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+  "max_length": 4096,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.51.0"
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