Upload folder using huggingface_hub
Browse files- README.md +71 -0
- all_results.json +15 -0
- config.json +25 -0
- eval_results.json +10 -0
- generation_config.json +6 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +9 -0
- tokenizer.json +0 -0
- tokenizer_config.json +10 -0
- train_results.json +8 -0
- trainer_state.json +2095 -0
- training_args.bin +3 -0
README.md
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| 1 |
+
---
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tags:
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- generated_from_trainer
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datasets:
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- /pfs/lustrep4/scratch/project_462000259/noah/instruct-datasets/askscience
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| 6 |
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metrics:
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| 7 |
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- accuracy
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| 8 |
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model-index:
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- name: layer_13,14,15
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results:
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- task:
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name: Causal Language Modeling
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type: text-generation
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dataset:
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name: /pfs/lustrep4/scratch/project_462000259/noah/instruct-datasets/askscience
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type: /pfs/lustrep4/scratch/project_462000259/noah/instruct-datasets/askscience
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.27968436193888074
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---
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| 23 |
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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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# layer_13,14,15
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This model is a fine-tuned version of [/pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pythia-deduped-1b-chat-base/](https://huggingface.co//pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pythia-deduped-1b-chat-base/) on the /pfs/lustrep4/scratch/project_462000259/noah/instruct-datasets/askscience dataset.
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It achieves the following results on the evaluation set:
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- Loss: 5.4570
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- Accuracy: 0.2797
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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: 0.0001
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- train_batch_size: 24
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 192
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| 57 |
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- total_eval_batch_size: 16
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| 58 |
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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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- training_steps: 6000
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### Training results
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### Framework versions
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| 67 |
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- Transformers 4.27.0
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| 69 |
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- Pytorch 1.12.1+gitcb6c422
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| 70 |
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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all_results.json
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{
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"epoch": 84.51,
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| 3 |
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"eval_accuracy": 0.27968436193888074,
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| 4 |
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"eval_loss": 5.45703125,
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| 5 |
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"eval_runtime": 101.4334,
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| 6 |
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"eval_samples": 720,
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| 7 |
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"eval_samples_per_second": 7.098,
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| 8 |
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"eval_steps_per_second": 0.444,
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| 9 |
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"perplexity": 234.40051387501347,
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| 10 |
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"train_loss": 3.6562127278645833,
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| 11 |
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"train_runtime": 21626.0725,
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| 12 |
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"train_samples": 13628,
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| 13 |
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"train_samples_per_second": 53.269,
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| 14 |
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"train_steps_per_second": 0.277
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}
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config.json
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{
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"_name_or_path": "/pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pythia-deduped-1b-chat-base/",
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| 3 |
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"architectures": [
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"GPTNeoXForCausalLM"
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],
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| 6 |
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"bos_token_id": 0,
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"eos_token_id": 0,
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"hidden_act": "gelu",
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"hidden_size": 2048,
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| 10 |
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"initializer_range": 0.02,
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| 11 |
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"intermediate_size": 8192,
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| 12 |
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"layer_norm_eps": 1e-05,
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| 13 |
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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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"rotary_emb_base": 10000,
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| 18 |
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"rotary_pct": 0.25,
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| 19 |
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"tie_word_embeddings": false,
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| 20 |
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"torch_dtype": "float16",
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| 21 |
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"transformers_version": "4.27.0",
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| 22 |
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"use_cache": true,
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| 23 |
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"use_parallel_residual": true,
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| 24 |
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"vocab_size": 50279
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}
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eval_results.json
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{
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| 2 |
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"epoch": 84.51,
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| 3 |
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"eval_accuracy": 0.27968436193888074,
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| 4 |
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"eval_loss": 5.45703125,
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| 5 |
+
"eval_runtime": 101.4334,
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| 6 |
+
"eval_samples": 720,
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| 7 |
+
"eval_samples_per_second": 7.098,
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| 8 |
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"eval_steps_per_second": 0.444,
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| 9 |
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"perplexity": 234.40051387501347
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| 10 |
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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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| 4 |
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"eos_token_id": 0,
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| 5 |
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"transformers_version": "4.27.0"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:69ea214f63b7ad3e68de50a53456109f773d75cebd121a7b59ed58bdcee40cdf
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size 2090541917
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<human>",
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"<bot>"
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],
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"bos_token": "<|endoftext|>",
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| 7 |
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"eos_token": "<|endoftext|>",
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"unk_token": "<|endoftext|>"
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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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{
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"add_prefix_space": false,
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"bos_token": "<|endoftext|>",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|endoftext|>",
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| 6 |
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"model_max_length": 1000000000000000019884624838656,
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| 7 |
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"special_tokens_map_file": "/pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pythia-deduped-1b-chat-base/special_tokens_map.json",
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| 8 |
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"tokenizer_class": "GPTNeoXTokenizer",
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"unk_token": "<|endoftext|>"
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}
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train_results.json
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{
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"epoch": 84.51,
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| 3 |
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"train_loss": 3.6562127278645833,
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| 4 |
+
"train_runtime": 21626.0725,
|
| 5 |
+
"train_samples": 13628,
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| 6 |
+
"train_samples_per_second": 53.269,
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| 7 |
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"train_steps_per_second": 0.277
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}
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trainer_state.json
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 84.50704225352112,
|
| 5 |
+
"global_step": 6000,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.28,
|
| 12 |
+
"learning_rate": 9.974991663887962e-05,
|
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training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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size 4783
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