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marcchew
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Platyporoni-7B

Text Generation
Transformers
PyTorch
llama
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
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  1. README.md +122 -0
  2. config.json +28 -0
  3. generation_config.json +7 -0
  4. pytorch_model-00001-of-00003.bin +3 -0
  5. pytorch_model-00002-of-00003.bin +3 -0
  6. pytorch_model-00003-of-00003.bin +3 -0
  7. pytorch_model.bin.index.json +298 -0
  8. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: cc-by-nc-4.0
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+ base_model: AIDC-ai-business/Marcoroni-7B
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: results
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # results
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+
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+ This model is a fine-tuned version of [AIDC-ai-business/Marcoroni-7B](https://huggingface.co/AIDC-ai-business/Marcoroni-7B) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.7324
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 8e-06
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+ - train_batch_size: 48
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+ - eval_batch_size: 6
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 96
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.6335 | 0.02 | 4 | 2.8691 |
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+ | 1.5666 | 0.03 | 8 | 2.8173 |
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+ | 1.4985 | 0.05 | 12 | 2.8003 |
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+ | 1.4244 | 0.06 | 16 | 2.7800 |
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+ | 1.4245 | 0.08 | 20 | 2.7674 |
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+ | 1.3865 | 0.09 | 24 | 2.7675 |
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+ | 1.3887 | 0.11 | 28 | 2.7687 |
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+ | 1.3794 | 0.12 | 32 | 2.7641 |
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+ | 1.3581 | 0.14 | 36 | 2.7628 |
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+ | 1.3712 | 0.15 | 40 | 2.7578 |
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+ | 1.328 | 0.17 | 44 | 2.7535 |
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+ | 1.3937 | 0.19 | 48 | 2.7494 |
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+ | 1.3843 | 0.2 | 52 | 2.7387 |
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+ | 1.2925 | 0.22 | 56 | 2.7368 |
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+ | 1.3135 | 0.23 | 60 | 2.7375 |
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+ | 1.3633 | 0.25 | 64 | 2.7335 |
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+ | 1.326 | 0.26 | 68 | 2.7365 |
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+ | 1.3392 | 0.28 | 72 | 2.7361 |
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+ | 1.2583 | 0.29 | 76 | 2.7316 |
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+ | 1.2652 | 0.31 | 80 | 2.7353 |
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+ | 1.2756 | 0.32 | 84 | 2.7394 |
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+ | 1.2966 | 0.34 | 88 | 2.7400 |
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+ | 1.359 | 0.36 | 92 | 2.7348 |
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+ | 1.3704 | 0.37 | 96 | 2.7342 |
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+ | 1.3389 | 0.39 | 100 | 2.7330 |
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+ | 1.3471 | 0.4 | 104 | 2.7336 |
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+ | 1.3288 | 0.42 | 108 | 2.7380 |
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+ | 1.2856 | 0.43 | 112 | 2.7382 |
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+ | 1.3277 | 0.45 | 116 | 2.7380 |
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+ | 1.2779 | 0.46 | 120 | 2.7414 |
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+ | 1.2967 | 0.48 | 124 | 2.7403 |
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+ | 1.2586 | 0.5 | 128 | 2.7433 |
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+ | 1.2652 | 0.51 | 132 | 2.7407 |
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+ | 1.3011 | 0.53 | 136 | 2.7399 |
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+ | 1.3377 | 0.54 | 140 | 2.7415 |
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+ | 1.295 | 0.56 | 144 | 2.7384 |
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+ | 1.3342 | 0.57 | 148 | 2.7344 |
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+ | 1.3309 | 0.59 | 152 | 2.7409 |
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+ | 1.3463 | 0.6 | 156 | 2.7394 |
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+ | 1.3104 | 0.62 | 160 | 2.7353 |
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+ | 1.2692 | 0.63 | 164 | 2.7380 |
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+ | 1.364 | 0.65 | 168 | 2.7386 |
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+ | 1.2888 | 0.67 | 172 | 2.7370 |
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+ | 1.3238 | 0.68 | 176 | 2.7380 |
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+ | 1.2687 | 0.7 | 180 | 2.7371 |
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+ | 1.2405 | 0.71 | 184 | 2.7396 |
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+ | 1.3065 | 0.73 | 188 | 2.7388 |
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+ | 1.2774 | 0.74 | 192 | 2.7424 |
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+ | 1.3195 | 0.76 | 196 | 2.7382 |
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+ | 1.2521 | 0.77 | 200 | 2.7413 |
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+ | 1.2922 | 0.79 | 204 | 2.7393 |
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+ | 1.3293 | 0.8 | 208 | 2.7394 |
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+ | 1.3062 | 0.82 | 212 | 2.7362 |
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+ | 1.2978 | 0.84 | 216 | 2.7394 |
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+ | 1.3054 | 0.85 | 220 | 2.7359 |
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+ | 1.3377 | 0.87 | 224 | 2.7383 |
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+ | 1.3088 | 0.88 | 228 | 2.7363 |
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+ | 1.296 | 0.9 | 232 | 2.7347 |
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+ | 1.3099 | 0.91 | 236 | 2.7394 |
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+ | 1.3008 | 0.93 | 240 | 2.7358 |
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+ | 1.2943 | 0.94 | 244 | 2.7417 |
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+ | 1.3035 | 0.96 | 248 | 2.7398 |
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+ | 1.3877 | 0.97 | 252 | 2.7390 |
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+ | 1.3324 | 0.99 | 256 | 2.7324 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.34.0.dev0
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+ - Pytorch 2.0.1+cu118
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+ - Datasets 2.14.6.dev0
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+ - Tokenizers 0.14.0
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+ "hidden_act": "silu",
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+ "initializer_range": 0.02,
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+ "intermediate_size": 11008,
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+ "max_position_embeddings": 4096,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 32,
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+ "pad_token_id": 0,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "transformers_version": "4.34.0.dev0",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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