Summarization
Transformers
Safetensors
gpt_bigcode
text-classification
reward-model
reward-trainer
trl
rlhf
preference-learning
text-generation-inference
Instructions to use caffeic/tinystarcoder-reward-tldr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use caffeic/tinystarcoder-reward-tldr with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="caffeic/tinystarcoder-reward-tldr")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("caffeic/tinystarcoder-reward-tldr") model = AutoModelForSequenceClassification.from_pretrained("caffeic/tinystarcoder-reward-tldr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- README.md +58 -0
- checkpoint-1450/config.json +48 -0
- checkpoint-1450/model.safetensors +3 -0
- checkpoint-1450/optimizer.pt +3 -0
- checkpoint-1450/rng_state.pth +3 -0
- checkpoint-1450/scheduler.pt +3 -0
- checkpoint-1450/tokenizer.json +0 -0
- checkpoint-1450/tokenizer_config.json +34 -0
- checkpoint-1450/trainer_state.json +2325 -0
- checkpoint-1450/training_args.bin +3 -0
- checkpoint-1500/config.json +48 -0
- checkpoint-1500/model.safetensors +3 -0
- checkpoint-1500/optimizer.pt +3 -0
- checkpoint-1500/rng_state.pth +3 -0
- checkpoint-1500/scheduler.pt +3 -0
- checkpoint-1500/tokenizer.json +0 -0
- checkpoint-1500/tokenizer_config.json +34 -0
- checkpoint-1500/trainer_state.json +2404 -0
- checkpoint-1500/training_args.bin +3 -0
- config.json +48 -0
- model.safetensors +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +34 -0
- training_args.bin +3 -0
README.md
ADDED
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| 1 |
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---
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base_model: bigcode/tiny_starcoder_py
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library_name: transformers
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model_name: tinystarcoder-rlhf-model
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tags:
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- generated_from_trainer
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| 7 |
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- reward-trainer
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| 8 |
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- trl
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| 9 |
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licence: license
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| 10 |
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---
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| 11 |
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| 12 |
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# Model Card for tinystarcoder-rlhf-model
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This model is a fine-tuned version of [bigcode/tiny_starcoder_py](https://huggingface.co/bigcode/tiny_starcoder_py).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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| 16 |
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| 17 |
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## Quick start
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| 18 |
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| 19 |
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```python
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| 20 |
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from transformers import pipeline
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| 21 |
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| 22 |
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text = "The capital of France is Paris."
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| 23 |
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rewarder = pipeline(model="None", device="cuda")
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output = rewarder(text)[0]
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| 25 |
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print(output["score"])
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| 26 |
+
```
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| 27 |
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| 28 |
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## Training procedure
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| 29 |
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| 30 |
+
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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This model was trained with Reward.
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| 35 |
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| 36 |
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### Framework versions
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| 37 |
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|
| 38 |
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- TRL: 1.5.0
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| 39 |
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- Transformers: 5.0.0
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| 40 |
+
- Pytorch: 2.11.0+cu128
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| 41 |
+
- Datasets: 4.8.5
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| 42 |
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- Tokenizers: 0.22.2
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| 43 |
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| 44 |
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## Citations
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| 46 |
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| 47 |
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| 48 |
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Cite TRL as:
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| 49 |
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|
| 50 |
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```bibtex
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| 51 |
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@software{vonwerra2020trl,
|
| 52 |
+
title = {{TRL: Transformers Reinforcement Learning}},
|
| 53 |
+
author = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
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| 54 |
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license = {Apache-2.0},
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| 55 |
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url = {https://github.com/huggingface/trl},
|
| 56 |
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year = {2020}
|
| 57 |
+
}
|
| 58 |
+
```
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checkpoint-1450/config.json
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{
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"activation_function": "gelu_pytorch_tanh",
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| 3 |
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"add_cross_attention": false,
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| 4 |
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"architectures": [
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| 5 |
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"GPTBigCodeForSequenceClassification"
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| 6 |
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],
|
| 7 |
+
"attention_softmax_in_fp32": true,
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| 8 |
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"attn_pdrop": 0.1,
|
| 9 |
+
"bos_token_id": 0,
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| 10 |
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"dtype": "float32",
|
| 11 |
+
"embd_pdrop": 0.1,
|
| 12 |
+
"eos_token_id": 0,
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| 13 |
+
"id2label": {
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| 14 |
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"0": "LABEL_0"
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| 15 |
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},
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| 16 |
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"inference_runner": 0,
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| 17 |
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"initializer_range": 0.02,
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| 18 |
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"label2id": {
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| 19 |
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"LABEL_0": 0
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| 20 |
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},
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| 21 |
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"layer_norm_epsilon": 1e-05,
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| 22 |
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"max_batch_size": null,
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| 23 |
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"max_sequence_length": null,
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| 24 |
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"model_type": "gpt_bigcode",
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| 25 |
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"multi_query": true,
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| 26 |
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"n_embd": 768,
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| 27 |
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"n_head": 12,
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| 28 |
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"n_inner": 3072,
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| 29 |
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"n_layer": 20,
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| 30 |
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"n_positions": 8192,
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| 31 |
+
"num_key_value_heads": 1,
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| 32 |
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"pad_key_length": true,
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| 33 |
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"pad_token_id": 0,
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| 34 |
+
"pre_allocate_kv_cache": false,
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| 35 |
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"resid_pdrop": 0.1,
|
| 36 |
+
"scale_attention_softmax_in_fp32": true,
|
| 37 |
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"scale_attn_weights": true,
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| 38 |
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"summary_activation": null,
|
| 39 |
+
"summary_first_dropout": 0.1,
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| 40 |
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"summary_proj_to_labels": true,
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| 41 |
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"summary_type": "cls_index",
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| 42 |
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"summary_use_proj": true,
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| 43 |
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"tie_word_embeddings": true,
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| 44 |
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"transformers_version": "5.0.0",
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| 45 |
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"use_cache": false,
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| 46 |
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"validate_runner_input": true,
|
| 47 |
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"vocab_size": 49152
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| 48 |
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}
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checkpoint-1450/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:97445f91302f050ea2f4ec9321ea358c8d81ee7996478662f980f8ea0e35a6cb
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size 656604448
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checkpoint-1450/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:8ccd5c5c93605b1293e1d7012c320378be7af14a7baaa76f9d5844e394ca5128
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| 3 |
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size 1313367755
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checkpoint-1450/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:add4c6b80e12787b33ec64bd8ef442fe26b25a887918cbcec87d07a4918d6f71
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size 14645
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checkpoint-1450/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:415992a7281ec20a82057ed8b15e1814ea421e307267fa8d620488aa8dcaeaec
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| 3 |
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size 1465
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checkpoint-1450/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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checkpoint-1450/tokenizer_config.json
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{
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"add_prefix_space": false,
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| 3 |
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"backend": "tokenizers",
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| 4 |
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"bos_token": "<|endoftext|>",
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| 5 |
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"eos_token": "<|endoftext|>",
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| 6 |
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"errors": "replace",
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| 7 |
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"extra_special_tokens": [
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| 8 |
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"<|endoftext|>",
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| 9 |
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"<fim_prefix>",
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| 10 |
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"<fim_middle>",
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| 11 |
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"<fim_suffix>",
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| 12 |
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"<fim_pad>",
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| 13 |
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"<filename>",
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| 14 |
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"<gh_stars>",
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| 15 |
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"<issue_start>",
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| 16 |
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"<issue_comment>",
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| 17 |
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"<issue_closed>",
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| 18 |
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"<jupyter_start>",
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| 19 |
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"<jupyter_text>",
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| 20 |
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"<jupyter_code>",
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| 21 |
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"<jupyter_output>",
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| 22 |
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"<empty_output>",
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| 23 |
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"<commit_before>",
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| 24 |
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"<commit_msg>",
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| 25 |
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"<commit_after>",
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| 26 |
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"<reponame>"
|
| 27 |
+
],
|
| 28 |
+
"is_local": false,
|
| 29 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 30 |
+
"pad_token": "<|endoftext|>",
|
| 31 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 32 |
+
"unk_token": "<|endoftext|>",
|
| 33 |
+
"vocab_size": 49152
|
| 34 |
+
}
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checkpoint-1450/trainer_state.json
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| 2311 |
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| 2312 |
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|
| 2313 |
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| 2314 |
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|
| 2315 |
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|
| 2316 |
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|
| 2317 |
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| 2318 |
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| 2319 |
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| 2325 |
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checkpoint-1450/training_args.bin
ADDED
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size 5393
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checkpoint-1500/config.json
ADDED
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@@ -0,0 +1,48 @@
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|
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|
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|
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|
| 6 |
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|
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| 27 |
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| 28 |
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|
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|
| 37 |
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| 38 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
checkpoint-1500/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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checkpoint-1500/optimizer.pt
ADDED
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checkpoint-1500/rng_state.pth
ADDED
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checkpoint-1500/scheduler.pt
ADDED
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checkpoint-1500/tokenizer.json
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checkpoint-1500/tokenizer_config.json
ADDED
|
@@ -0,0 +1,34 @@
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|
| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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| 28 |
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|
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|
| 33 |
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checkpoint-1500/trainer_state.json
ADDED
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@@ -0,0 +1,2404 @@
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checkpoint-1500/training_args.bin
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size 5393
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ADDED
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|
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|
| 43 |
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|
| 44 |
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model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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tokenizer.json
ADDED
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The diff for this file is too large to render.
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,34 @@
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| 3 |
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| 30 |
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| 33 |
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training_args.bin
ADDED
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