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Browse files- README.md +96 -0
- config.json +37 -0
- model.safetensors +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +219 -0
- trainer_state.json +1518 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: kykim0/pythia-1b-tulu-v2-mix
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tags:
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- generated_from_trainer
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datasets:
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- allenai/ultrafeedback_binarized_cleaned
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metrics:
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- accuracy
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model-index:
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- name: b32-lr1.41e-05-s0-e2-btbinf-seed42
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: allenai/ultrafeedback_binarized_cleaned
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type: allenai/ultrafeedback_binarized_cleaned
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.7427109974424553
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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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# b32-lr1.41e-05-s0-e2-btbinf-seed42
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This model is a fine-tuned version of [kykim0/pythia-1b-tulu-v2-mix](https://huggingface.co/kykim0/pythia-1b-tulu-v2-mix) on the allenai/ultrafeedback_binarized_cleaned dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5040
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- Accuracy: 0.7458
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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: 1.41e-05
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- total_eval_batch_size: 32
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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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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 0.6627 | 0.0527 | 100 | 0.6306 | 0.6675 |
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| 0.5604 | 0.1055 | 200 | 0.5954 | 0.6890 |
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| 0.5743 | 0.1582 | 300 | 0.5773 | 0.6880 |
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| 0.573 | 0.2110 | 400 | 0.5408 | 0.7182 |
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| 0.5644 | 0.2637 | 500 | 0.5285 | 0.7361 |
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| 0.5482 | 0.3165 | 600 | 0.5251 | 0.7366 |
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| 0.5673 | 0.3692 | 700 | 0.5267 | 0.7279 |
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| 0.5701 | 0.4219 | 800 | 0.5123 | 0.7453 |
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| 0.5199 | 0.4747 | 900 | 0.5148 | 0.7376 |
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| 0.5525 | 0.5274 | 1000 | 0.5133 | 0.7494 |
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| 0.5197 | 0.5802 | 1100 | 0.5085 | 0.7488 |
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| 0.4977 | 0.6329 | 1200 | 0.5146 | 0.7412 |
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| 0.492 | 0.6857 | 1300 | 0.5116 | 0.7417 |
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| 0.5046 | 0.7384 | 1400 | 0.5069 | 0.7453 |
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| 0.5476 | 0.7911 | 1500 | 0.5044 | 0.7478 |
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| 0.5247 | 0.8439 | 1600 | 0.5038 | 0.7468 |
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| 0.5591 | 0.8966 | 1700 | 0.5079 | 0.7453 |
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| 0.5228 | 0.9494 | 1800 | 0.5040 | 0.7458 |
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| 0.5336 | 1.0021 | 1900 | 0.5045 | 0.7488 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.14.6
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "kykim0/pythia-1b-tulu-v2-mix",
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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": 2048,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"label2id": {
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"LABEL_0": 0
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},
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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": 8,
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"num_hidden_layers": 16,
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"pad_token_id": 1,
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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": "bfloat16",
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"transformers_version": "4.44.2",
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1d5e03ef03e2826ad8c3137e282404ffc28ed6c1d803095099beef0be1373743
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size 1817545248
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"single_word": false
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"pad_token": {
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"content": "<|padding|>",
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"unk_token": {
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"single_word": false
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}
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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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|
123 |
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|
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|
125 |
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},
|
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"50267": {
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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},
|
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"50270": {
|
151 |
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|
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|
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|
154 |
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|
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|
156 |
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|
157 |
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},
|
158 |
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"50271": {
|
159 |
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"content": " ",
|
160 |
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|
161 |
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|
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|
163 |
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|
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|
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},
|
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|
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|
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|
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|
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|
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|
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},
|
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"50273": {
|
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"content": " ",
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|
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|
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|
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|
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|
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},
|
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"50274": {
|
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"content": " ",
|
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"lstrip": false,
|
185 |
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"normalized": true,
|
186 |
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"rstrip": false,
|
187 |
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"single_word": false,
|
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"special": false
|
189 |
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},
|
190 |
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"50275": {
|
191 |
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"content": " ",
|
192 |
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|
193 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"special": false
|
205 |
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}
|
206 |
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},
|
207 |
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"bos_token": "<|endoftext|>",
|
208 |
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
209 |
+
"clean_up_tokenization_spaces": true,
|
210 |
+
"eos_token": "<|endoftext|>",
|
211 |
+
"max_length": 2048,
|
212 |
+
"model_max_length": 2048,
|
213 |
+
"pad_token": "<|padding|>",
|
214 |
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"stride": 0,
|
215 |
+
"tokenizer_class": "GPTNeoXTokenizer",
|
216 |
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"truncation_side": "right",
|
217 |
+
"truncation_strategy": "longest_first",
|
218 |
+
"unk_token": "<|endoftext|>"
|
219 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1518 @@
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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