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End of training
Browse files- README.md +59 -0
- config.json +30 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- runs/Apr12_23-19-41_6fa62b0a0960/events.out.tfevents.1712963991.6fa62b0a0960.297.0 +3 -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-160m-deduped-v0
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tags:
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- generated_from_trainer
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model-index:
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- name: saccaromyces-pythia-v1
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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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# saccaromyces-pythia-v1
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This model is a fine-tuned version of [EleutherAI/pythia-160m-deduped-v0](https://huggingface.co/EleutherAI/pythia-160m-deduped-v0) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4040
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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: 2e-05
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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: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 21 | 2.3784 |
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| No log | 2.0 | 42 | 2.3664 |
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| No log | 3.0 | 63 | 2.4040 |
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### Framework versions
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- Transformers 4.38.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "EleutherAI/pythia-160m-deduped-v0",
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"architectures": [
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"GPTNeoXForCausalLM"
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],
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"attention_bias": true,
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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": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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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": 12,
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"num_hidden_layers": 12,
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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": "4.38.1",
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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": "4.38.1"
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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:b91ddbdb299d0f7abde67b07db5211e578d4c25b706e2b910df1a8086fbcaad3
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size 649308728
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runs/Apr12_23-19-41_6fa62b0a0960/events.out.tfevents.1712963991.6fa62b0a0960.297.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:157dbc8f1b04e0ccca4ae4bfce4d11fc5629ff528e8db983f7e6cf1690583dc4
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size 5840
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f8980099b9aac977e9a23af6c4bc66cb85e9bb8847d1b7b4200aae58567be28
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size 4920
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