kh-jalali/pythia410m-taylorswift-2000-steps

README.md

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+---
+license: apache-2.0
+base_model: EleutherAI/pythia-410m
+tags:
+- generated_from_trainer
+model-index:
+- name: pythia410m-taylorswift-2000steps
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# pythia410m-taylorswift-2000steps
+
+This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/EleutherAI/pythia-410m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6837
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: tpu
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1
+- training_steps: 2000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.8241        | 0.61  | 120  | 1.7255          |
+| 1.0032        | 1.23  | 240  | 1.5268          |
+| 1.141         | 1.84  | 360  | 1.4654          |
+| 0.6062        | 2.45  | 480  | 1.4594          |
+| 0.4412        | 3.07  | 600  | 1.4708          |
+| 0.4085        | 3.68  | 720  | 1.5156          |
+| 0.279         | 4.29  | 840  | 1.5411          |
+| 0.2549        | 4.9   | 960  | 1.5015          |
+| 0.2972        | 5.52  | 1080 | 1.5476          |
+| 0.2389        | 6.13  | 1200 | 1.5731          |
+| 0.2217        | 6.74  | 1320 | 1.5751          |
+| 0.1253        | 7.36  | 1440 | 1.6184          |
+| 0.2071        | 7.97  | 1560 | 1.6103          |
+| 0.2004        | 8.58  | 1680 | 1.6501          |
+| 0.1017        | 9.2   | 1800 | 1.6778          |
+| 0.1549        | 9.81  | 1920 | 1.6837          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "EleutherAI/pythia-410m",
+  "architectures": [
+    "GPTNeoXForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classifier_dropout": 0.1,
+  "eos_token_id": 0,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.0,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "gpt_neox",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "rope_scaling": null,
+  "rotary_emb_base": 10000,
+  "rotary_pct": 0.25,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "use_cache": true,
+  "use_parallel_residual": true,
+  "vocab_size": 50304
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.35.2"
+}

model.safetensors

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+size 1621370224

runs/Jan07_14-07-56_55bb39763ef3/events.out.tfevents.1704636546.55bb39763ef3.1130.0

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training_args.bin

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