pythia-finetuned-with-context-5-steps
Browse files- README.md +55 -0
- config.json +29 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- runs/Nov03_19-31-14_ee89d5dce286/events.out.tfevents.1699039891.ee89d5dce286.12874.0 +3 -0
- special_tokens_map.json +6 -0
- tokenizer.json +0 -0
- tokenizer_config.json +212 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: EleutherAI/pythia-410M
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tags:
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- generated_from_trainer
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model-index:
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- name: pythia-finetuned-with-context-5-steps
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results: []
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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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# pythia-finetuned-with-context-5-steps
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This model is a fine-tuned version of [EleutherAI/pythia-410M](https://huggingface.co/EleutherAI/pythia-410M) on the None dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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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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- lr_scheduler_warmup_steps: 1
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- training_steps: 5
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### Training results
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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config.json
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{
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"_name_or_path": "EleutherAI/pythia-410M",
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"architectures": [
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"GPTNeoXForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"classifier_dropout": 0.1,
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"eos_token_id": 0,
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"hidden_act": "gelu",
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"hidden_dropout": 0.0,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 2048,
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"model_type": "gpt_neox",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"rope_scaling": null,
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"rotary_emb_base": 10000,
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"rotary_pct": 0.25,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.35.0",
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"use_cache": true,
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"use_parallel_residual": true,
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"vocab_size": 50304
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 0,
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"transformers_version": "4.35.0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6839172e586593eb40794a99ad0a703d1c68f9364c14668f8e7760ef07291596
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size 1621370224
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runs/Nov03_19-31-14_ee89d5dce286/events.out.tfevents.1699039891.ee89d5dce286.12874.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:18ce4526e1f242e9ff99e55fd89d763bf29d6328a4b1dc5e2e18c784b2c3b19d
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size 5465
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special_tokens_map.json
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{
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"bos_token": "<|endoftext|>",
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"eos_token": "<|endoftext|>",
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"pad_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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}
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training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:218e27018f6612835eb2382b6a9936e3ed31b0c6c18cf1112530660e6cc5cbf1
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size 4600
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