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Model save

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Files changed (5) hide show
  1. README.md +22 -19
  2. config.json +3 -3
  3. generation_config.json +1 -1
  4. model.safetensors +1 -1
  5. training_args.bin +2 -2
README.md CHANGED
@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.2544
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  ## Model description
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@@ -44,28 +44,31 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:-----:|:---------------:|
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- | 3.8254 | 0.064 | 5000 | 3.8259 |
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- | 3.5877 | 0.128 | 10000 | 3.6043 |
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- | 3.4987 | 0.192 | 15000 | 3.5176 |
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- | 3.4495 | 0.256 | 20000 | 3.4692 |
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- | 3.4157 | 0.32 | 25000 | 3.4390 |
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- | 3.4003 | 0.384 | 30000 | 3.4159 |
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- | 3.382 | 0.448 | 35000 | 3.4012 |
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- | 3.3649 | 0.512 | 40000 | 3.3881 |
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- | 3.3592 | 0.576 | 45000 | 3.3781 |
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- | 3.3518 | 0.64 | 50000 | 3.3702 |
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- | 3.3447 | 0.704 | 55000 | 3.3609 |
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- | 3.3348 | 0.768 | 60000 | 3.3474 |
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- | 3.2925 | 0.832 | 65000 | 3.3085 |
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- | 3.2576 | 0.896 | 70000 | 3.2757 |
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- | 3.2402 | 0.96 | 75000 | 3.2544 |
 
 
 
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  ### Framework versions
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- - Transformers 4.57.0.dev0
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  - Pytorch 2.8.0+cu129
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  - Datasets 3.6.0
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  - Tokenizers 0.22.1
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.2500
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:-----:|:---------------:|
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+ | 3.8685 | 0.0533 | 5000 | 3.8281 |
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+ | 3.6486 | 0.1067 | 10000 | 3.6086 |
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+ | 3.5596 | 0.16 | 15000 | 3.5224 |
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+ | 3.5262 | 0.2133 | 20000 | 3.4727 |
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+ | 3.4856 | 0.2667 | 25000 | 3.4395 |
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+ | 3.4585 | 0.32 | 30000 | 3.4181 |
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+ | 3.4457 | 0.3733 | 35000 | 3.4013 |
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+ | 3.4247 | 0.4267 | 40000 | 3.3865 |
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+ | 3.4283 | 0.48 | 45000 | 3.3743 |
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+ | 3.4162 | 0.5333 | 50000 | 3.3662 |
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+ | 3.4076 | 0.5867 | 55000 | 3.3583 |
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+ | 3.3995 | 0.64 | 60000 | 3.3524 |
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+ | 3.3996 | 0.6933 | 65000 | 3.3458 |
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+ | 3.3921 | 0.7467 | 70000 | 3.3410 |
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+ | 3.3648 | 0.8 | 75000 | 3.3157 |
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+ | 3.3406 | 0.8533 | 80000 | 3.2877 |
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+ | 3.3174 | 0.9067 | 85000 | 3.2641 |
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+ | 3.2925 | 0.96 | 90000 | 3.2500 |
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  ### Framework versions
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+ - Transformers 4.57.0
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  - Pytorch 2.8.0+cu129
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  - Datasets 3.6.0
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  - Tokenizers 0.22.1
config.json CHANGED
@@ -3,13 +3,13 @@
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  "NeoLLMForCausalLM"
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  ],
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  "attention_bias": false,
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- "attention_dropout": 0.0,
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  "auto_map": {
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  "AutoConfig": "configuration_neollm.NeoLLMConfig",
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  "AutoModel": "modeling_neollm.NeoLLMModel",
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  "AutoModelForCausalLM": "modeling_neollm.NeoLLMForCausalLM"
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  },
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- "dropout_rate": 0.0,
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  "dtype": "bfloat16",
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  "eos_token_id": 151645,
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  "fan_ratio": 0.125,
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  "rms_norm_eps": 1e-06,
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  "rope_scaling": null,
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  "rope_theta": 10000.0,
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- "transformers_version": "4.57.0.dev0",
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  "vocab_size": 151665
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  }
 
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  "NeoLLMForCausalLM"
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  ],
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  "attention_bias": false,
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+ "attention_dropout": 0.1,
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  "auto_map": {
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  "AutoConfig": "configuration_neollm.NeoLLMConfig",
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  "AutoModel": "modeling_neollm.NeoLLMModel",
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  "AutoModelForCausalLM": "modeling_neollm.NeoLLMForCausalLM"
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  },
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+ "dropout_rate": 0.1,
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  "dtype": "bfloat16",
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  "eos_token_id": 151645,
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  "fan_ratio": 0.125,
 
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  "rms_norm_eps": 1e-06,
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  "rope_scaling": null,
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  "rope_theta": 10000.0,
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+ "transformers_version": "4.57.0",
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  "vocab_size": 151665
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  }
generation_config.json CHANGED
@@ -4,5 +4,5 @@
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  151645
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  "pad_token_id": 151643,
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- "transformers_version": "4.57.0.dev0"
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  }
 
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  151645
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  ],
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  "pad_token_id": 151643,
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+ "transformers_version": "4.57.0"
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  }
model.safetensors CHANGED
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