End of training
Browse files- README.md +52 -0
- config.json +32 -0
- model.safetensors +3 -0
- runs/May03_14-40-12_rllm-niki-041a-advers-18-q6r7h/events.out.tfevents.1714747222.rllm-niki-041a-advers-18-q6r7h.66.0 +3 -0
- runs/May03_14-40-12_rllm-niki-041a-advers-18-q6r7h/events.out.tfevents.1714748567.rllm-niki-041a-advers-18-q6r7h.66.1 +3 -0
- runs/May03_14-40-12_rllm-niki-041a-advers-18-q6r7h/events.out.tfevents.1714750725.rllm-niki-041a-advers-18-q6r7h.66.2 +3 -0
- runs/May03_14-40-12_rllm-niki-041a-advers-18-q6r7h/events.out.tfevents.1714753292.rllm-niki-041a-advers-18-q6r7h.66.3 +3 -0
- runs/May03_14-40-12_rllm-niki-041a-advers-18-q6r7h/events.out.tfevents.1714755860.rllm-niki-041a-advers-18-q6r7h.66.4 +3 -0
- runs/May03_14-40-12_rllm-niki-041a-advers-18-q6r7h/events.out.tfevents.1714758488.rllm-niki-041a-advers-18-q6r7h.66.5 +3 -0
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- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +213 -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
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tags:
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- generated_from_trainer
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model-index:
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- name: robust_llm_pythia-160m_niki-041a_imdb_random-token-1280_10-rounds_seed-3
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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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# robust_llm_pythia-160m_niki-041a_imdb_random-token-1280_10-rounds_seed-3
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This model is a fine-tuned version of [EleutherAI/pythia-160m](https://huggingface.co/EleutherAI/pythia-160m) on an unknown 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: 8
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- eval_batch_size: 8
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- seed: 3
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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: 1
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### Training results
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.1
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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",
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"architectures": [
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"GPTNeoXForSequenceClassification"
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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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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"rope_scaling": null,
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"rotary_emb_base": 10000,
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"torch_dtype": "float32",
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"transformers_version": "4.39.3",
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"use_cache": false,
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"use_parallel_residual": true,
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"vocab_size": 50304
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}
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:757fa2cc3e822ff1a4e400c29ecd2c6480d00441705abac4e1f13ed5a27b6eb2
|
3 |
+
size 5176
|