End of training

README.md

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+---
+license: mit
+base_model: EleutherAI/gpt-neo-1.3B
+tags:
+- generated_from_trainer
+model-index:
+- name: V0410MP2_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. -->
+
+# V0410MP2_neo
+
+This model is a fine-tuned version of [EleutherAI/gpt-neo-1.3B](https://huggingface.co/EleutherAI/gpt-neo-1.3B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4671
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 15.3484 | 0.18 | 20 | 15.2532 |
+| 15.5815 | 0.36 | 40 | 15.4093 |
+| 9.1742 | 0.54 | 60 | 6.3561 |
+| 8.7042 | 0.73 | 80 | 12.5224 |
+| 2.0922 | 0.91 | 100 | 1.4943 |
+| 0.9479 | 1.09 | 120 | 0.7978 |
+| 0.5805 | 1.27 | 140 | 0.5833 |
+| 0.491 | 1.45 | 160 | 0.4959 |
+| 0.451 | 1.63 | 180 | 0.4655 |
+| 0.5629 | 1.81 | 200 | 0.9156 |
+| 0.4747 | 1.99 | 220 | 0.4671 |
+
+
+### 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-1.3B",
+ "curr_learning": false,
+ "detached_training": false,
+ "encoder_hidden_size": 2048,
+ "hypernetwork": true,
+ "inference_mode": true,
+ "num_attention_heads": 16,
+ "num_layers": 24,
+ "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": 2048
+}

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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