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gpt-neo-125m-cs-finetuning-9000
Browse files- README.md +59 -0
- config.json +55 -0
- emissions.csv +2 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- runs/May27_10-31-35_kbs/events.out.tfevents.1716773499.kbs.34172.20 +3 -0
- runs/May27_10-31-35_kbs/events.out.tfevents.1716773654.kbs.34172.21 +3 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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base_model: EleutherAI/gpt-neo-125m
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tags:
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- generated_from_trainer
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model-index:
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- name: gpt-neo-125m-cs-finetuning-9000
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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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# gpt-neo-125m-cs-finetuning-9000
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This model is a fine-tuned version of [EleutherAI/gpt-neo-125m](https://huggingface.co/EleutherAI/gpt-neo-125m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.3485
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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: 2e-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: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 115 | 3.4161 |
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| No log | 2.0 | 230 | 3.3618 |
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| No log | 3.0 | 345 | 3.3485 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 1.13.1+cu117
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- Datasets 2.14.6
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "EleutherAI/gpt-neo-125m",
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"activation_function": "gelu_new",
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"architectures": [
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"GPTNeoForCausalLM"
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],
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"attention_dropout": 0,
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"attention_layers": [
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"global",
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"local",
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"global",
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"local",
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"global",
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"local",
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"global",
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"local",
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"global",
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"local",
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"global",
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"local"
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],
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"attention_types": [
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[
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[
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"global",
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"local"
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],
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6
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]
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],
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"bos_token_id": 50256,
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"classifier_dropout": 0.1,
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"embed_dropout": 0,
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"eos_token_id": 50256,
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"gradient_checkpointing": false,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": null,
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"layer_norm_epsilon": 1e-05,
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"max_position_embeddings": 2048,
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"model_type": "gpt_neo",
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"num_heads": 12,
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"num_layers": 12,
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"resid_dropout": 0,
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"summary_activation": null,
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"summary_first_dropout": 0.1,
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"summary_proj_to_labels": true,
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"summary_type": "cls_index",
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"summary_use_proj": true,
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"torch_dtype": "float32",
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 50257,
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"window_size": 256
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}
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emissions.csv
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timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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2024-05-27T10:34:10,codecarbon,5ece9ab7-0284-4be7-8162-a9dac69e907d,151.44133496284485,2.1624189084822207e-05,1.427892133288944e-07,42.5,166.867,11.905189990997316,0.0017877064940002231,0.006808368035358985,0.0005003496205949659,0.009096424149954176,Canada,CAN,quebec,,,Windows-10-10.0.19045-SP0,3.9.18,2.2.3,20,12th Gen Intel(R) Core(TM) i7-12700,1,1 x NVIDIA GeForce RTX 3060,-71.2,46.8,31.747173309326172,machine,N,1.0
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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": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.36.2"
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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 sha256:34831fc5624c60e82ea66cc39723b849a29911930210de8c66e45b2ff2910670
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size 500811336
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runs/May27_10-31-35_kbs/events.out.tfevents.1716773499.kbs.34172.20
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version https://git-lfs.github.com/spec/v1
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oid sha256:5f8eeea2b11e1ef8e353aef21613e0b8162c3971be4566ed339b2451ed3a164d
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size 5969
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runs/May27_10-31-35_kbs/events.out.tfevents.1716773654.kbs.34172.21
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version https://git-lfs.github.com/spec/v1
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size 311
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 4283
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