Upload 8 files
Browse files- README.md +90 -0
- all_results.json +9 -0
- config.json +30 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +214 -0
README.md
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---
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library_name: transformers
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base_model: EleutherAI/pythia-14m
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tags:
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- generated_from_trainer
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model-index:
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- name: pythia-14m-finewebedu-sentences
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results: []
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---
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# pythia-14m-finewebedu-sentences
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- Generate half intelligible English sentences using a small GPT like model.
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- Will output one sentence at a time.
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This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/EleutherAI/pythia-14m) on the [agentlans/finewebedu-sentences dataset](https://huggingface.co/datasets/agentlans/finewebedu-sentences).
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## Model description
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To generate 10 random sentences starting from an empty string on a CUDA device:
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```python
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from transformers import pipeline, set_seed
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generator = pipeline('text-generation', model='agentlans/pythia-14m-finewebedu-sentences', device='cuda')
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set_seed(1234)
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results = generator("", max_length=100, num_return_sequences=10, do_sample=True)
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for x in results:
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print(x['generated_text'])
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```
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Output:
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```text
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The main outcome is that the group is associated with other domains.
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If you're planning to get a long-term answer, you can check the link "watch" and see that you can change your website.
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They are very difficult to make it easy to understand how it works as a healthy.
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In the most cases, the prevalence of DTP is reduced from 5-HT1.
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It is a significant difference between the risk of injury, and there is no need to be a single complication.
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The time of taking too high on the scale of the region is to begin, with a bit other type of view to the whole system.
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The total cost of your daily distribution is $24. The overall number of children is 0.5 times is 50.
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The more difficult time is to learn the basics of the work, but it is important to do the same job.
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It is now on the other hand, however, in the middle of the 19th century, the country must follow the law of the country and alliances between the countries and communities.
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This is why it is hard to do this.
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```
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## Intended uses & limitations
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- For generating short lines of English text
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- Could be useful for
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- data augmentation
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- creative inspiration
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- entertainment
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- CAPTCHA
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- Can be further finetuned on other data such as:
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- prompts
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- famous quotes
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- news headlines
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- blog post titles
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Limitations include:
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- Not guaranteed to make sensible, coherent, or grammatically correct sentences
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- No regard for accuracy or truthfulness whatsoever
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- It's a bunch of words from a probability model, what do you expect?
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## Training and evaluation data
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Sentences from [HuggingFaceFW/fineweb-edu](https://huggingface.co/datasets/HuggingFaceFW/fineweb-edu)
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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: 5e-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: 15.0
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.2.2+cu121
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- Datasets 2.18.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 15.0,
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"total_flos": 1.1701900541952e+16,
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"train_loss": 6.4889299491993535,
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"train_runtime": 2354.7682,
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"train_samples": 16644,
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"train_samples_per_second": 106.023,
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"train_steps_per_second": 13.256
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}
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config.json
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{
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"_name_or_path": "EleutherAI/pythia-14m",
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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": 128,
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"initializer_range": 0.02,
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"intermediate_size": 512,
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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": 4,
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"num_hidden_layers": 6,
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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": "4.44.2",
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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": "4.44.2"
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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 sha256:536c9f97040bc300b157c52572085e5feaa0d7a098dfce356494b4297cc2d28e
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size 56279344
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special_tokens_map.json
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"eos_token": {
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"unk_token": {
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}
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tokenizer.json
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See raw diff
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tokenizer_config.json
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