End of training

README.md

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+---
+license: apache-2.0
+base_model: EleutherAI/pythia-70m
+tags:
+- generated_from_trainer
+model-index:
+- name: pythia70M-finetuned-on-lamini-docs
+  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. -->
+
+# pythia70M-finetuned-on-lamini-docs
+
+This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/EleutherAI/pythia-70m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0582
+
+## 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
+- 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
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.3194        | 0.16  | 50   | 2.4776          |
+| 2.3198        | 0.32  | 100  | 2.3780          |
+| 2.16          | 0.48  | 150  | 2.2905          |
+| 2.2156        | 0.63  | 200  | 2.2450          |
+| 2.3342        | 0.79  | 250  | 2.1934          |
+| 2.7634        | 0.95  | 300  | 2.1748          |
+| 2.4963        | 1.11  | 350  | 2.1500          |
+| 2.1493        | 1.27  | 400  | 2.1413          |
+| 1.8731        | 1.43  | 450  | 2.1200          |
+| 2.0132        | 1.59  | 500  | 2.1030          |
+| 1.9606        | 1.75  | 550  | 2.0848          |
+| 1.37          | 1.9   | 600  | 2.0659          |
+| 1.7681        | 2.06  | 650  | 2.0744          |
+| 1.8926        | 2.22  | 700  | 2.0779          |
+| 1.2409        | 2.38  | 750  | 2.0683          |
+| 1.489         | 2.54  | 800  | 2.0616          |
+| 1.5143        | 2.7   | 850  | 2.0604          |
+| 1.3736        | 2.86  | 900  | 2.0582          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

config.json

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+{
+  "_name_or_path": "EleutherAI/pythia-70m",
+  "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": 512,
+  "initializer_range": 0.02,
+  "intermediate_size": 2048,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "gpt_neox",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 6,
+  "rope_scaling": null,
+  "rotary_emb_base": 10000,
+  "rotary_pct": 0.25,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.34.1",
+  "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": "4.34.1"
+}

pytorch_model.bin

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+size 281733863

training_args.bin

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