End of training

README.md

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+---
+license: mit
+base_model: EleutherAI/gpt-neo-2.7B
+tags:
+- generated_from_trainer
+model-index:
+- name: V0410MP3_neo
+  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. -->
+
+# V0410MP3_neo
+
+This model is a fine-tuned version of [EleutherAI/gpt-neo-2.7B](https://huggingface.co/EleutherAI/gpt-neo-2.7B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 11.4224
+
+## 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: 0.0003
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 12.6501       | 0.18  | 20   | 12.6430         |
+| 12.5965       | 0.36  | 40   | 12.6773         |
+| 12.883        | 0.54  | 60   | 12.8912         |
+| 12.443        | 0.73  | 80   | 13.2937         |
+| 11.8789       | 0.91  | 100  | 11.5682         |
+| 11.8368       | 1.09  | 120  | 12.7259         |
+| 11.6823       | 1.27  | 140  | 11.6140         |
+| 11.3923       | 1.45  | 160  | 11.4045         |
+| 11.4354       | 1.63  | 180  | 11.5279         |
+| 11.4733       | 1.81  | 200  | 11.4428         |
+| 11.3741       | 1.99  | 220  | 11.4224         |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+{
+  "additive_modeling": false,
+  "auto_mapping": null,
+  "base_model_name_or_path": "EleutherAI/gpt-neo-2.7B",
+  "curr_learning": false,
+  "detached_training": false,
+  "encoder_hidden_size": 2560,
+  "hypernetwork": true,
+  "inference_mode": true,
+  "num_attention_heads": 20,
+  "num_layers": 32,
+  "num_prefix_set": 3,
+  "num_transformer_submodules": 1,
+  "num_virtual_tokens": 30,
+  "ot_diversified_prefix": false,
+  "peft_type": "M_PREFIX",
+  "prefix_projection": true,
+  "task_type": "CAUSAL_LM",
+  "token_dim": 2560
+}

adapter_model.bin

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model.safetensors

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "!",
+  "unk_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 2048,
+  "pad_token": "!",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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