First model version
Browse files- README.md +63 -0
- all_results.json +13 -0
- config.json +29 -0
- eval_results.json +8 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +213 -0
README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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base_model: EleutherAI/pythia-410m
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tags:
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- alignment-handbook
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- generated_from_trainer
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datasets:
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- HuggingFaceH4/ultrachat_200k
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model-index:
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- name: pythia-410m-sft-full
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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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# pythia-410m-sft-full
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This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/EleutherAI/pythia-410m) on the HuggingFaceH4/ultrachat_200k dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.5227
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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: 0.0002
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- train_batch_size: 16
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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: 4
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- total_train_batch_size: 256
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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: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.5136 | 1.0 | 500 | 1.5227 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.2.1
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 1.0,
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"eval_loss": 1.5227431058883667,
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"eval_runtime": 145.4289,
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"eval_samples": 23110,
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"eval_samples_per_second": 97.484,
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"eval_steps_per_second": 3.053,
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"train_loss": 1.613119140625,
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"train_runtime": 4475.3855,
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"train_samples": 207865,
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"train_samples_per_second": 28.629,
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"train_steps_per_second": 0.112
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}
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config.json
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{
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"_name_or_path": "EleutherAI/pythia-410m",
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"architectures": [
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"GPTNeoXForCausalLM"
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],
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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": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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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": 16,
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"num_hidden_layers": 24,
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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": "4.36.2",
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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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eval_results.json
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{
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"epoch": 1.0,
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"eval_loss": 1.5227431058883667,
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"eval_runtime": 145.4289,
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"eval_samples": 23110,
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"eval_samples_per_second": 97.484,
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"eval_steps_per_second": 3.053
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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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"transformers_version": "4.36.2",
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"use_cache": false
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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 sha256:58ab107392f7215b96b82538cc57359e5188c617cfa6f9611a7d1f3a3bac0ae2
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size 810702192
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special_tokens_map.json
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tokenizer.json
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See raw diff
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tokenizer_config.json
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"lstrip": false,
|
159 |
+
"normalized": true,
|
160 |
+
"rstrip": false,
|
161 |
+
"single_word": false,
|
162 |
+
"special": false
|
163 |
+
},
|
164 |
+
"50272": {
|
165 |
+
"content": " ",
|
166 |
+
"lstrip": false,
|
167 |
+
"normalized": true,
|
168 |
+
"rstrip": false,
|
169 |
+
"single_word": false,
|
170 |
+
"special": false
|
171 |
+
},
|
172 |
+
"50273": {
|
173 |
+
"content": " ",
|
174 |
+
"lstrip": false,
|
175 |
+
"normalized": true,
|
176 |
+
"rstrip": false,
|
177 |
+
"single_word": false,
|
178 |
+
"special": false
|
179 |
+
},
|
180 |
+
"50274": {
|
181 |
+
"content": " ",
|
182 |
+
"lstrip": false,
|
183 |
+
"normalized": true,
|
184 |
+
"rstrip": false,
|
185 |
+
"single_word": false,
|
186 |
+
"special": false
|
187 |
+
},
|
188 |
+
"50275": {
|
189 |
+
"content": " ",
|
190 |
+
"lstrip": false,
|
191 |
+
"normalized": true,
|
192 |
+
"rstrip": false,
|
193 |
+
"single_word": false,
|
194 |
+
"special": false
|
195 |
+
},
|
196 |
+
"50276": {
|
197 |
+
"content": " ",
|
198 |
+
"lstrip": false,
|
199 |
+
"normalized": true,
|
200 |
+
"rstrip": false,
|
201 |
+
"single_word": false,
|
202 |
+
"special": false
|
203 |
+
}
|
204 |
+
},
|
205 |
+
"bos_token": "<|endoftext|>",
|
206 |
+
"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 %}",
|
207 |
+
"clean_up_tokenization_spaces": true,
|
208 |
+
"eos_token": "<|endoftext|>",
|
209 |
+
"model_max_length": 2048,
|
210 |
+
"pad_token": "<|endoftext|>",
|
211 |
+
"tokenizer_class": "GPTNeoXTokenizer",
|
212 |
+
"unk_token": "<|endoftext|>"
|
213 |
+
}
|