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gpt-neo-125m-finetuned-couples2

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  1. README.md +62 -0
  2. config.json +55 -0
  3. generation_config.json +6 -0
  4. model.safetensors +3 -0
  5. runs/Mar10_18-14-53_4870a36f063e/events.out.tfevents.1710094516.4870a36f063e.581.0 +3 -0
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  8. runs/Mar10_18-19-15_4870a36f063e/events.out.tfevents.1710094896.4870a36f063e.581.3 +3 -0
  9. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: EleutherAI/gpt-neo-125m
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: gpt-neo-125m-finetuned-couples2
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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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+ # gpt-neo-125m-finetuned-couples2
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+
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+ This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.6169
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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: 3e-07
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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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: 6.0
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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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+ | No log | 1.0 | 91 | 2.6242 |
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+ | No log | 2.0 | 182 | 2.6215 |
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+ | No log | 3.0 | 273 | 2.6194 |
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+ | No log | 4.0 | 364 | 2.6180 |
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+ | No log | 5.0 | 455 | 2.6171 |
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+ | 2.6194 | 6.0 | 546 | 2.6169 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ {
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+ "_name_or_path": "EleutherAI/gpt-neo-125m",
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+ "activation_function": "gelu_new",
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+ "architectures": [
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+ "GPTNeoForCausalLM"
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+ ],
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+ "attention_dropout": 0,
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+ "attention_layers": [
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+ "global",
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+ "local",
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+ "global",
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+ "local",
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+ "global",
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+ "local",
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+ "global",
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+ "local",
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+ "global",
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+ "local",
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+ "global",
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+ "local"
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+ ],
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+ "attention_types": [
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+ [
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+ [
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+ "global",
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+ "local"
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+ ],
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+ 6
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+ ]
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+ ],
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+ "bos_token_id": 50256,
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+ "classifier_dropout": 0.1,
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+ "embed_dropout": 0,
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+ "eos_token_id": 50256,
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+ "gradient_checkpointing": false,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": null,
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+ "layer_norm_epsilon": 1e-05,
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+ "max_position_embeddings": 2048,
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+ "model_type": "gpt_neo",
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+ "num_heads": 12,
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+ "num_layers": 12,
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+ "resid_dropout": 0,
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+ "summary_activation": null,
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+ "summary_first_dropout": 0.1,
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+ "summary_proj_to_labels": true,
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+ "summary_type": "cls_index",
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+ "summary_use_proj": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.2",
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+ "use_cache": true,
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+ "vocab_size": 50257,
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+ "window_size": 256
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+ }
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